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Azure Data Engineer If you have an experience between 8-13 years into Azure, databricks, Pyspark, snowflake, python, ADF, SQL, Fabric, Synapse. Kindly share your resumePlease note and mention the following in the mail body-1. Total years of experience-2. Official Notice period-3. Current &amp; preferred location-4. Relevant experience into Azure-5. Current CTC (Fixed, Variable)-6. Expected CTC-Looking for those who are serving notice period or upto 30-45 days ONLY.

Fractal Analytics Private Limited

Data Engineer

Principal Data ArchitectMake an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.Your day at NTT DATA The Principal Data Engineer is a highly skilled subject matter expert, tasked with managing the transformation of data into a structured format that can be easily analyzed in a query or report. This role is responsible for developing structured data sets that can be reused or complimented by other data sets and reports. This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities. Key and responsibilities:<ul><li>Leads on designing data models in a structured data format to enable analysis thereof.</li><li>Design. and develop. scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources,</li><li>Participates in the transformation of object and data models into appropriate database schemas within design constraints.</li><li>Interprets installation standards to meet project needs and produce database components as required.</li><li>Advises on test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations.</li><li>Accountable for running data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems.</li><li>Works across multiple IT and business teams to define and implement data table structures and data models based on requirements.</li><li>Accountable for analysis, and development of ETL and migration documentation.</li><li>Works with cross functionally stakeholders to evaluate potential data requirements.</li><li>Owns the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.</li><li>Partners with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.</li><li>May coach and mentor less experienced team members.</li></ul> To thrive in this role, you need to have:<ul><li>Broad knowledge of the definition and management of scoping requirements, definition and prioritization activities.</li><li>Broad understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.</li><li>Deep expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.</li><li>Broad understanding of data architecture landscape between physical and logical data models</li><li>Analytical mindset with excellent business acumen skills.</li><li>Problem-solving aptitude with the ability to communicate effectively, both written and verbal.</li><li>Ability to think strategically and build effective relationships at all levels within the organization.</li><li>Expert in programing languages (Perl, bash, Shell Scripting, Python, etc.).</li></ul> Academic qualifications and certifications:<ul><li>Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.</li><li>Relevant certifications preferred such as SAP, Microsoft Azure etc.</li><li>Certified Data Engineer, Certified Professional certification preferred.</li></ul> Required experience:<ul><li>Extended demonstrated experience in data engineering, data mining within a fast-paced environment</li><li>Extended experience in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.</li><li>Extended demonstrated experience with architecture and design of secure, highly available and scalable systems.</li><li>Extended demonstrated experience in automation, scripting and proven examples of successful implementation.</li><li>Extended demonstrated experience using scripting language (Perl, bash, Shell Scripting, Python, etc.).</li><li>Extended demonstrated experience with big data tools like Hadoop, Cassandra, Storm etc.</li><li>Extended demonstrated experience in any applicable language, preferably .NET.</li><li>Extended demonstrated experience in SAP, SQL, MySQL databases and Microsoft SQL.</li><li>Extended demonstrated experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.</li></ul>Workplace type: Hybrid WorkingAbout NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.<h4>Experience Level</h4>Senior Level

NTT DATA Global Delivery Services Ltd

Senior Data AnalystJLL empowers you to shape a brighter way.  Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people  and empowering them to  thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   Senior Data Analyst Enterprise Analytics Technology, Data &amp; Information Management Centre of Expertise (TDIM CoE) (Bangalore)What this job involves:About the role #JLLTechAmbitions •    We are looking for experienced analytical professional to join our team working on global analytical projects for both Corporate Services (e.g. HR, Finance) and Business Lines (e.g. Capital Markets, Leasing, Hotels) •    The role would support projects across data acquisition, exploratory analysis, Insight/ Analysis creation and presenting key findings to project team and stakeholders. •    Candidates will have expertise across Data / Statistical tools (SQL, R, Python), problem formulation, insight / model development and visualization / BI tools. Passion for understanding the why is key for successful applicants.Responsibilities•    Ability to understand business problems across both JLL Business Lines (Capital Markets, Leasing) and Corporate Services (HR, Finance) •    Experience with SQL with data acquisition and exploratory data analysis.  Must have attention to detail as well as a nose for understanding complex datasets needed for analysis.    •    Work closely with Enterprise Analytics / Stakeholder teams to build out analytical solutions •    Leverage data, statistical and visualization tools for building the project deliverables including o    Visualization dashboard with key dimension / metrics o    Analysis deck with key insights and actionable insights relevant to stakeholders o    Advanced analytics results including correlation, predictive and testing results o    Datasets for operationalizing analytical findings with stakeholder groups •    Focus on continuous learning and development across Methods, Tools and Analytical problems. •    Manage current project deliverables, communicate roadblocks and find solutions to move projects forward  Sounds like you? To apply you need to be:Experience &amp; Education •    Bachelors degree in Math, Statistics, Engineering, Computer science, Psychology, Other quantitative fields •    Masters degree preferred •    4-6 years of experience in data and analysis in corporate and consulting settings •    4+ years of experience with analytical problem formulation and analytics / insight development •    4+ years of experience with data tools (SQL, Power BI etc.). •    3+ years of experience in using Microsoft Excel, PowerPoint tools, Statistical tools (SAS / R / Python / Stata). •    Experience with visualization tools like Tableau / Domo / QlikviewTechnical Skills &amp; Competencies •    Deep skills with managing data from multiple platforms, identifying anomalies, integrating datasets.  Core SQL skills necessary to pull data from JLL, External and adhoc datsets. •    Analytical mindset driven to understand the data and building actionable insights  •    Experience with the analytical tool kit across Data (SQL / Alteryx), Statistical (SAS / R / Python / Stata), Visualization (Tableau) and Microsoft suite (Excel, Word, Powerpoint). •    Excellent communication skills, ability to communicate with technical and non-technical audiences •    Commitment to learning including new analytical methods, tools and problemsWhat we can do for you: At JLL, we make sure that you become the best version of yourself by helping you realise your full potential in a fully entrepreneurial and inclusive work environment. If you harbour passion for learning and adapting new technologies, JLL will continuously provide you with platforms to enrich your technical domains.  We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. It’s no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2019 World’s Most Ethical Companies for the 12th consecutive year.Apply today!Location: On-site –Bengaluru, KAScheduled Weekly Hours:40If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!JLL Privacy NoticeJones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our <a href='\"https://www.us.jll.com/en/careers/candidate-privacy-statement\"' target='\"_blank\"'>Candidate Privacy Statement</a>.For additional details please see our career site pages for each country.For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy <a href='\"https://www.us.jll.com/en/careers/disclaimers\"' target='\"_blank\"'>here</a>.Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process –  you may contact us at <a href='\"http://link.jll.com/Accommodation_Requests\"' target='\"_blank\"'>Accommodation Requests</a>. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our <a href='\"https://www.us.jll.com/en/contact-us\"' target='\"_blank\"'>Contact Us</a> page &gt; I want to work for JLL.

Jones Lang Lasalle Property Consultants India Pvt Ltd

Data Analyst

Machine Learning Tech Lead, Data and Evaluations, AIRX<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree or equivalent practical experience.</li><li>8 years of experience in Software Development.</li><li> 5 years of experience with design and architecture and testing/launching software products.</li><li>5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li><li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Experience with Partners and Devices product portfolio and an understanding of how AI can be leveraged.</li><li>Experience in working with distributed teams across multiple time zones, fostering strong communication, collaboration, and a sense of shared purpose even in a remote work environment.</li><li>Ability to work with teams, including product managers, Machine Learning software engineers, and other stakeholders, to drive AI adoption and integration.</li><li>Ability to build relationships globally, ensuring collaboration between local and US-based teams to deliver AI-driven solution.</li></ul><h4>About the job</h4>Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. <h4>Responsibilities</h4><ul><li>Build comprehensive ML driven evaluations for AI systems (on-device, server based, private compute and Hybrid)  and critical user journeys, designed to be adaptable across various applications across P&amp;D</li><li>Build infrastructure and tooling needed to support evaluations across P&amp;D and drive visibility on performance at an exec level </li><li>Build ML-based Auto raters for easy creation, execution scaling and evaluation.</li><li>Improving the scope and quality of datasets and Upstreaming new datasets and evaluations to Gemini OneRecipe (when applicable).</li><li>Leverage SWE Agents to create agentic flows that automate evals creation and TL a high performing team</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Data Scientist

Lead Analyst - RNA<h4>Company Description</h4>WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.<h4>Job Description</h4>We are seeking a skilled Data Analyst to join our team. The ideal candidate will have over 5 years of relevant experience with hands-on expertise in SQL programming, and creating insightful visualizations. Knowledge of AWS Redshift or similar databases is essential.Key Responsibilities:Analyse complex data sets to identify trends, patterns, and insights.Develop and implement statistical and machine learning models to solve business problems.Write efficient and optimized SQL queries for data extraction and manipulation.Create interactive and informative visualizations to present data insights.Collaborate with cross-functional teams to understand business requirements and provide analytical solutions.Maintain and optimize existing data pipelines and workflows.Communicate complex data findings clearly and effectively to stakeholders.Required Skills:5+ years of relevant experience in data analysis.Hands-on experience with SQL programming.Proven experience in building statistical and machine learning models.Proficiency in building visualizations using tools like Tableau, Power BI, or similar.Knowledge of AWS Redshift or similar database technologies.Experience working with Databricks.Preferred Skills / Not Mandatory Familiar with R / Python (nice to have)Other Requirements:Excellent communication skills.Strong business analysis capabilities.High attention to detail.Ability to work effectively as a team player or independently as an Individual Contributor (IC).<h4>Qualifications</h4>Graduate<h4>Experience Level</h4>Senior Level

WNS Global Services Pvt Ltd

Senior Data Scientist, SAP Enterprise Cloud ServicesWe help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What you will do <ul type="disc"><li>Collect, prepare and structure data from various sources</li><li>Analyze big data volumes to gain insights, detect pattern and trends</li><li>Create and maintain notebooks for data analysis</li><li>Development and Appliance of Models in the discipline of LLM, Machine Learning and Predictive Analytics</li><li>Interpretation and Visualization of Analysis results</li><li>Derive recommendations and provide support to decisions - based on the data analysis</li><li>Continuous improvement of models and processes</li><li>Develop new methods of analysis</li></ul> What you bring <ul type="disc"><li>Bachelor’s, Master’s or Ph.D. in Engineering, Computer Science, Statistics, or related field</li><li>4-8 years of hands-on experience in data science and machine learning</li><li>Proficiency in Python</li><li>Experience in statistical modeling, predictive analytics and data mining techniques</li><li>Understanding of algorithm design, data cleaning, and feature engineering</li><li>Ability to work in fast-paced, collaborative teams on multiple concurrent projects</li><li>Analytical skills with the ability for abstract thinking, problem-solving skills and attention to detail</li><li>Good communication skills, with the ability to convey complex data insights to non-technical stakeholders </li></ul>Nice to have <ul type="disc"><li>Experience with big data technologies (e.g. Databricks)</li><li>Exposure to DevOps practic</li></ul> Meet the Team Join the Productization team, the group driving the ECS Delivery AIOps vision and strategy. We focus on AIOps end-to-end. By leveraging telemetry, automation, and machine learning to make operations smarter and more reliable. In close partnership with Data Science, we turn raw data into actionable insights and build rapid PoCs that validate and shape our AIOps roadmap. If you’re excited to transform operations with AI at scale, this is where you can make it happen.  ​Bring out your bestSAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.We win with inclusionSAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the <a href="https://one.int.sap/me@sap/jobs_at_sap#17498858-1050-415e-8d82-21f91655666b_96fc">SAP Referral Policy</a>. Specific conditions may apply for roles in Vocational Training.EOE AA M/F/Vet/Disability:Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor.Requisition ID: 432491  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.<h4>Experience Level</h4>Senior Level

Sap India Private Limited

ML Lead Job Requirements:<ul><li>Lead and mentor a team of data scientists to deliver ML-driven solutions.</li><li>Develop and implement advanced analytics, ML, and predictive models.</li><li>Build solutions using Statistics, ML, Deep Learning, or Generative AI.</li><li>10+ years industry experience in Data Science/ML projects with 2+ years of team leadership experience.</li><li>Strong expertise in Machine Learning, with experience in models like SVM, Random Forest, XG Boost, forecasting, anomaly detection, etc.</li><li>Proficiency in Python, PySpark, SQL, and libraries like Scikit Learn, Pandas, Numpy, Spark.</li><li>Exposure to MLOps and cloud-based ML model deployment (Azure, AWS, GCP).</li><li>Good to have: Deep Learning, Generative AI (LLMs, prompt engineering, Vector DBs), TensorFlow, PyTorch, Keras.</li><li>Excellent leadership, communication, and problem-solving skills with a track record of delivering quality solutions.</li><li>Relevant certifications (e.g., Azure Data Scientist Associate, AWS ML Specialty) will be an added advantage.</li></ul> <ul><li>Experience - 10+ Years</li><li>Immediate Joiners Preferred</li></ul> Share your updated resume now.

Xoriant

Product Lead

Azure Data Engineer <ul><li>Experience: 6+ Years</li><li>Interview Mode: Face To Face Interview</li><li>Mandatory Skills: Azure Databricks, Pyspark, SQL, Azure Data factory&nbsp;</li></ul> Share your updated resume now.

eSoftLabs

Data Modeller Capgemini is hiring for a Data Modeller role! Experience: 6+ YearsMandatory Skills:• Data Modelling• Data Warehousing• ETL• GCP Cloud

Capgemini

Data Engineer LTTS Hiring Data Engineer- Bangalore.Experience: 4 -7 Years Skills:<ul><li>Pyspark</li><li>Scripting</li><li>Python</li></ul> Requirement<ul><li>Expertise in data analysis methodologies and processes and their linkages to other processes Technical expertise with data models, data mining, and segmentation techniques.</li><li>Advanced SQL skills and experience with relational databases and database design.</li><li>Strong knowledge on Python, PySpark, SQL, Java Script.</li><li>Experience building and deploying machine learning models.</li><li>Experience with integration efforts (packaged and customised applications) from a data analysis perspective.</li><li>Strong business analyst skills, able to work with many different stakeholders to elicit and document requirements</li></ul>

L&T Technology Services Ltd

Senior Data Governance Specialist – Alation & Data Strategy We're hiring Senior Data Governance Specialist – Alation &amp; Data Strategy. Notice Period: Immediate to 20 Days Experience Required: 10 - 15 years Key Responsibilities Lead the design, configuration, and optimization of Alation for metadata management, data cataloguing, and lineage visualization. Implement and manage Alation Marketplace, enabling effective data discovery, sharing, and stewardship. Establish and maintain end-to-end data lineage across platforms and tools. Define and enforce data governance frameworks, policies, and standards aligned with organizational data strategy. Partner with business and technology teams to ensure metadata accuracy, stewardship accountability, and compliance with data privacy regulations. Collaborate with BI / Data Engineering teams to ensure metadata integration across ETL pipelines, data lakes, and reporting platforms. Drive data literacy and adoption of Alation across functional teams through training and best practices. Provide recommendations to enhance data quality, accessibility, and reusability within the organization. Required Skills &amp; Experience 10+ years of experience in Data Management, Governance, or related roles. 3+ years of hands-on experience with Alation, including Marketplace, Lineage, and Catalog Administration. Strong understanding of metadata management, data quality frameworks, and data lifecycle management. Experience implementing or scaling enterprise data governance programs. Working knowledge of data strategy, architecture, and compliance frameworks (e.g., DAMA-DMBOK, DCAM, GDPR, CCPA). Proficiency in SQL and familiarity with data engineering or BI tools (e.g., Power BI, Tableau, Databricks, Snowflake, or Azure Data Services). Excellent stakeholder management, communication, and documentation skills. Preferred Qualifications Certification in Alation, Collibra, or Informatica Axon. Experience in financial services, insurance, or large-scale enterprise data ecosystems. Proven record of driving data culture transformation and adoption of governance tools. Interested candidates, please share your CV.

Teamware Solutions

Senior Data Engineer Cito Techno is looking for passionate Senior Data Engineer to join our growing team. Experience: 5+ Years Notice Period: Immediate Joiner Skills: AWS/Azure, Python, PySpark, Databricks, SQL, Airflow Location: Bangalore, Domlur (4 days working from office) Shift: Normal Shift If you have a strong background in data engineering and are eager to make an impact, send your resume.

Cito Techno

Data Engineer Cito Techno is looking for a passionate Data Engineer to join our growing team. Experience: 4+ Years Notice Period: Immediate Joiner Skills: AWS/Azure, Python, PySpark, Databricks, SQL, Airflow Location: Bangalore, Domlur (4 days WFO) Shift: Normal Shift If you’re eager to work on cutting-edge data solutions and thrive in a collaborative environment, Send your resume.

Tableau Developer We are looking for a skilled Tableau Developer to join our team. The ideal candidate will have hands-on experience in creating, maintaining, and optimizing dashboards, reports, and visualizations that enable data-driven decision-making across the organization. Key Responsibilities:<ul><li>Develop and maintain Tableau dashboards &amp; reports</li><li>Translate business needs into data visualizations</li><li>Work with SQL &amp; multiple data sources for insights</li><li>Optimize dashboards for performance &amp; usability</li><li>Collaborate with stakeholders for BI solutions</li></ul> <ul><li>Experience: 5+ Years</li><li>Notice Period: Immediate Joiners or 15 Days (Only immediate joiners &amp; candidates serving notice period)</li></ul> Share your updated resume now.

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