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Alation Expert We’re looking for exceptional professionals who’ve mastered the Alation tool — people who can turn metadata into meaning and data into business impact.If you’ve worked hands-on with Alation for data cataloging, governance, or metadata automation, we’d love to connect!Domain: Telecom Data &amp; AI Share your updated resume now.

Incedo Inc

3D Artist

Lead Data Engineer(SQL,SSIS) We’re looking for talented professionals to join our growing team. Role - Lead Data Engineer (SQL,SSIS)Job ID - EXP/001/0066Experience - 5 YrsKey Skills - SQL, SSIS, ADF, Azure Data Lake/ Lake House If you have strong expertise in these areas and are passionate about building scalable, high-quality solutions, we’d love to hear from you!Share your ideal profile/resume with us at: <a rel="noopener noreferrer" href="\&quot;mailto:amith.jolly@experionglobal.com\&quot;" target="_blank">amith.jolly@experionglobal.com</a>.

Experion Technologies India Pvt Ltd

Data Engineer

Senior Analytics EngineerSnowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.JOB DESCRIPTIONWe are looking for a Senior Analytics Engineer to join our growing Finance data team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake’s success as a company. As a Senior Analytics Engineer, you will be responsible for the following:<ul><li>Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation</li><li>Perform data QA and develop automated testing procedures for use with Snowflake data models</li><li>Translate reporting, analysis, and automation requirements into data model requirements and specifications</li><li>Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases</li><li>Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth</li><li>Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions</li><li>Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA</li><li>Build and maintain user friendly documentation for data models and key metrics</li><li>Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team</li></ul>WHAT YOU WILL NEEDRequired skills:<ul><li>5+ years of experience working as an analytics, data, or BI engineer</li><li>Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets</li><li>Experience using Python to parse, structure, and transform data</li><li>Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies</li><li>Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders</li><li>Ability to prioritize and execute tasks in a high-pressure, constantly changing environment</li><li>Ability to think creatively to solve problems</li><li>Passion for detail and quality, an ability to identify weaknesses in data and process, and a willingness to drive improvement</li><li>Willingness to work flexible international hours as needed</li><li>Experience with Excel, ERP, Salesforce, and Financial Planning tools</li></ul>Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: <a href="http://careers.snowflake.com" rel="noopener noreferrer nofollow" target="_blank">careers.snowflake.com</a><h4>Experience Level</h4>Senior Level

Snowflake Computing India Llp

Business Intelligence Engineer

Tech Lead - Snowflake + SQL + SSIS JobYASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Snowflake Professionals in the following areas : <h4>Experience</h4>8-10 Years<h4>Job Description</h4>Job Title: Senior Data Engineer (Snowflake and MS SQL Server)Job Summary: We are looking for a highly skilled Senior Data Engineer with 8–10 years of experience in data engineering, specializing in Snowflake, Microsoft SQL Server, and SSIS package review/analysis. The ideal candidate will not only design and optimize scalable data solutions but also provide technical guidance, mentorship, and direction to other developers in the team. This role requires strong hands-on expertise, architectural thinking, and leadership in building reliable data ecosystems that enable analytics and reporting across the enterprise. Must-Have Skills &amp; Experience:· 8–10 years of professional experience in data engineering.· Deep expertise in Microsoft SQL Server (T-SQL, indexing, query tuning, stored procedures).· Strong hands-on knowledge of Snowflake (database design, ingestion, data sharing, security, and resource management).· Proven experience designing and implementing end-to-end data warehousing and ETL/ELT solutions.· Prior exposure to SSIS package review, analysis, and troubleshooting.· Strong understanding of data architecture, performance tuning, and optimization strategies.· Experience in leading or mentoring developers and providing architectural guidance.· Excellent communication and stakeholder management skills with the ability to translate technical requirements into business-aligned solutions. Key Responsibilities:· Lead the design and development of data pipelines and integration flows across SQL Server and Snowflake.· Review and guide developers on SSIS package optimization and troubleshooting.· Set coding and design best practices for SQL and Snowflake development, ensuring performance, scalability, and robustness.· Mentor junior and mid-level data engineers by providing technical guidance, peer reviews, and knowledge sharing.· Collaborate with solution architects and business stakeholders to design data models, schemas, and warehouse solutions for enterprise analytics.· Drive initiatives to ensure data quality, governance, and compliance across platforms.· Partner with cross-functional teams to prioritize and deliver strategic data engineering solutions.· Troubleshoot complex issues, conduct root cause analysis, and propose long-term improvements.· Contribute to the continuous improvement of data engineering processes, tools, and Frameworks.<h4>Required Technical/ Functional Competencies</h4>Domain/ Industry Knowledge:<ul><li>Working knowledge of customer's business processes and relevant technology platform or product.</li><li>Able to analyze current-state and define to-be processes in collaboration with SME and present recommendations with tangible benefits.</li></ul>Requirement Gathering and Analysis:<ul><li>Specialized knowledge of requirement management processes and requirement analysis processes, tools &amp; methodologies.</li><li>Extract requirements for complex scenarios and prototype independently.</li><li>Identify modules impacted, features/functionalities impacted and arrive at high level estimates.</li><li>Develop traceability matrix and identify transition requirements.</li></ul>Product/ Technology Knowledge:<ul><li>Implement code or configure/customize products, drive adoption of industry standards and practices, and contribute to development of reusable assets and innovative solutions.</li><li>Conduct technical sessions and knowledge sharing sessions, and work on complex modules independently.</li><li>Analyze various frameworks/tools and present recommendations, contribute to development of training and certification material, and demonstrate thought leadership through whitepapers and webinars.</li></ul>Architecture tools and frameworks:<ul><li>Specialized knowledge of architecture Industry tools &amp; frameworks.</li><li>Implement tools &amp; framework in a complex scenario.</li><li>Conduct tools &amp; framework customization &amp; tailoring workshop.</li></ul>Architecture concepts and principles:<ul><li>Specialized knowledge of architectural elements, SDLC, methodologies &amp; customer business/domain.</li><li>Establish Architectural principles/ patterns and use advanced tools to capture and analyze system/ technical issues.</li></ul>Analytics Solution Design:<ul><li>In Depth knowledge of statistical &amp; machine learning techniques.</li><li>Able to design analytical modelling approach for moderate-scale projects or for components of large-scale.</li><li>Understand business requirements &amp; constraints including potential trade-offs between speed &amp; accuracy, maintains trends.</li></ul>Tools &amp; Platform Knowledge:<ul><li>Familiarity with the wide range of data science/analytics commercial and open source software tools, their constraints, advantages, disadvantages, areas of application and mainstream packages relevant to technical stages of data science/analytics projects.</li><li>Intermediate to advanced skills in programming languages used for data science/analytics and ability to apply these for data acquisition, pre-processing, modelling and model deployment. Ability to interpret and modify existing scripts and conduct quality checks.</li></ul><h4>Required Behavioral Competencies</h4>Accountability:<ul><li>Takes responsibility for and ensures accuracy of results and deadlines of the function and/or team and in completing own work.</li></ul>Collaboration: <ul><li>Reaches out to others in team to ensure connections are made and team members are working together.</li><li>Looks for ways to integrate work with other teams, identifying similarities and opportunities, making necessary changes in work to ensure successful integration.</li></ul>Agility:<ul><li>Demonstrates openness to the possibilities that change presents and begins to plan for how role may change.</li><li>Works with others to prepare for change.</li></ul>Customer Focus:<ul><li>Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.</li></ul>Communication:<ul><li>Communicates well-organized ideas, information, and data to broad and diverse audiences across the Organization (through formal and informal presentations).</li><li>Helps others identify their appropriate audience.</li></ul>Drives Results:<ul><li>Sets realistic stretch goals for self &amp; others and perseveres to follow through with resilience and remains calm in a crisis or stressful situation to exceed organization/client expectation.</li></ul>Resolves Conflict:<ul><li>Identifies and understands the source of conflict, addresses, and overcomes.</li></ul><h4>Certifications</h4>
Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles<ul><li>Flexible work arrangements, Free spirit, and emotional positivity</li><li>Agile self-determination, trust, transparency, and open collaboration</li><li>All Support needed for the realization of business goals,</li><li>Stable employment with a great atmosphere and ethical corporate culture</li></ul><h4>Experience Level</h4>Senior Level

Yash Technologies Private Limited

Associate - Data Science - Advisory Corporate A career within Application and Emerging Technology services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities:<ul><li>Build, Train, and Deploy ML Models using Python on Azure/AWS</li><li>3+ years of Experience in building Machine Learning and Deep Learning models in Python</li><li>Experience on working on AzureML/AWS Sagemaker</li><li>Ability to deploy ML models with REST based APIs</li><li>Proficient&nbsp;in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)</li><li>Ability to work directly with customers with good communication skills.</li><li>Ability to analyze datasets using SQL, Pandas</li><li>Experience of working on Azure Data Factory, PowerBI</li><li>Experience on PySpark, Airflow etc.</li><li>Experience of working on Docker/Kubernetes</li></ul> Mandatory skill sets: Data Science, Machine LearningPreferred skill sets: Data Science, Machine LearningYears of experience required: 3 - 6Education qualification: B.Tech / M.Tech / MBA / MCA

Data Scientist

Data Engineer (Databricks, SQL, Python) We are seeking an experienced&nbsp;Data Engineer&nbsp;with 4 to 5 years of experience, and at least 3+ years of expertise in designing and implementing data solutions using the Databricks platform. The ideal candidate will have a solid background in distributed computing, big data technologies, and cloud platforms. Key Responsibilities:<ul><li>Design, implement, and maintain scalable data solutions using&nbsp;Databricks.</li><li>Work with programming languages such as&nbsp;Python, SQL, or Scala.</li><li>Collaborate with cross-functional teams to deliver data-driven solutions.</li><li>Optimize and manage data pipelines using&nbsp;Apache Spark&nbsp;and&nbsp;cloud services&nbsp;(AWS, Azure, or GCP).</li><li>Leverage DevOps practices to automate deployments and monitor data pipelines.</li></ul> Key Skills:<ul><li>Proficiency in&nbsp;Python,&nbsp;SQL, or&nbsp;Scala.</li><li>Hands-on experience with&nbsp;Databricks&nbsp;and&nbsp;Apache Spark.</li><li>Strong knowledge of&nbsp;cloud platforms&nbsp;like AWS, Azure, or GCP.</li><li>Good understanding of&nbsp;distributed computing&nbsp;and big data technologies.</li><li>Familiarity with&nbsp;containerization&nbsp;(Docker, Kubernetes) and&nbsp;DevOps&nbsp;practices.</li></ul> Good to Have:<ul><li>Experience with&nbsp;containerization technologies&nbsp;(Docker, Kubernetes).</li><li>Knowledge of&nbsp;automated deployment and monitoring&nbsp;for data pipelines.</li></ul> Qualifications:<ul><li>Bachelor’s or Master’s degree in&nbsp;Computer Science,&nbsp;Engineering, or a related field</li></ul>

Teachmantra Solution

Analytics ConsultantAbout this role:Wells Fargo is seeking a Analytics ConsultantIn this role, you will:<ul><li>Consult with business line and enterprise functions on less complex research</li><li>Use functional knowledge to assist in non-model quantitative tools that support strategic decision making</li><li>Perform analysis of findings and trends using statistical analysis and document process</li><li>Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance</li><li>Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency</li><li>Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing</li><li>Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff</li><li>Understand compliance and risk management requirements for supported area</li><li>Ensure adherence to data management or data governance regulations and policies</li><li>Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals</li><li>Collaborate and consult with more experienced consultants and with partners in technology and other business groups</li></ul>Required Qualifications:<ul><li>2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul>Responsibilities<ul><li>Providing business and technical leadership to develop reporting and analytics team delivering across multiple MMB projects</li><li>Responsible for maintaining partner relationships, ensuring high quality team deliverables and SLAs</li><li>Working closely with US partners, interacting closely with multiple business partners anchor program managers</li><li>Work independently, foster a culture of healthy and efficient working for the team</li><li>Designing and solving complex  business problems by analytical techniques and tools</li><li>Will be involved directly in the technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, etc. that enable analysis, modeling, and/or advanced data visualization</li><li>Recommends potential data sources; compiles and mines data from multiple, cross business sources.</li><li>Works with typically very large data sets, both structured and unstructured, and from multiple sources</li><li>Develops specific, customized reports, ad hoc analyses and/or data visualizations, formatted with business user-friendly techniques to drive adoption, such as (1) Excel macros/pivoting/filtering, (2) PowerPoint slides and presentations, and (3) clear verbal and e-mail communications</li><li>Works with senior consultants or directly with partners, responsible for identifying and defining business requirements and translating business needs into moderately complex analyses and recommendations. </li><li>Works with local and international colleagues and with internal customers, responsible for identifying and defining business requirements and catering to business needs for the team</li><li>Ensures adherence to data management/data governance regulations and policies </li><li>Applies knowledge of business, customers, and/or products/services/portfolios to synthesize data to 'form a story' and align information to contrast/compare to industry perspective</li><li>Ability to work overlap hours with US team</li><li>Shift  1:30-10:30 pm IST </li></ul>  Job Expectations -<ul><li>2 + years of experience in data, reporting, analytics or a combination of two; or a MS/MA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis </li><li>2+ years of hands-on experience in SQL especially in Oracle, SQL Server &amp; Teradata environment</li><li>2+ years of experience in Tableau or SSRS or any BI Reporting tool- creating solutions with aid of data visualization. This includes but not limited to developing and creating BI dashboards, working on end to end reports, deriving insights from data</li><li>Hands on experience in ETL development using Alteryx, or SSIS or any ETL tools</li><li>Excellent verbal, written, and interpersonal communication skill</li><li>Good data interpretation and presentation skills</li><li>Willingness/ability to take ownership of a project</li><li>Exceptionally fast learner, able to reach non-trivial SME level under tight deadlines</li><li>High energy, can-do attitude, self-directed, pro-active, self-starter who excels in an environment with limited supervision</li><li>Assist in managing multiple complex exercises in various stages simultaneously</li><li>Assist in managing internal customer expectations while adhering to internal SLA timeframes</li></ul>  Desired Qualifications: <ul><li>Extensive knowledge and understanding of data research and analysis </li><li>Strong analytical skills with high attention to detail and accuracy </li><li>Collaborative, team-focused attitude </li><li>2+ years of experience in Customer/ Marketing / Sales Analytics  </li><li>Experience with reporting tools like Business Objects, QlikView, etc. </li></ul>Posting End Date: 24 Apr 2025*Job posting may come down early due to volume of applicants.<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>We Value DiversityAt Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit <a href='\"https://www.wellsfargojobs.com/en/diversity/disability-inclusion/\"' target='\"_blank\"'>Disability Inclusion at Wells Fargo</a>.Drug and Alcohol Policy Wells Fargo maintains a drug free workplace.  Please see our <a href='\"https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy\"' target='\"_blank\"'>Drug and Alcohol Policy</a> to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Wells Fargo India Solutions Pvt Ltd

Business Intelligence Analyst

Data Engineer Skills - Azure Synapse, Azure data factory, DataBricksExperience - 3 yearsNo. of Openings - 2 Share your resume now.

Dev Information Technology LTD

Alteryx Certified Engineer We are looking for talented Alteryx Certified Engineer who are passionate about automation and data transformation. This role offers the opportunity to design and build Alteryx solutions that replace manual, Excel-based processes (EUCs), driving efficiency and accuracy across critical business operations. Experience: 5+ Years Key Responsibilities<ul><li>Collaborate with BAU SMEs to understand EUC requirements.</li><li>Design, document, and develop Alteryx workflows to automate manual processes.</li><li>Build scalable Alteryx solutions that enhance efficiency and reduce risk.</li><li>Support testing, troubleshooting, and deployment of workflows.</li><li>Ensure compliance with organizational standards and best practices.</li></ul> What We’re Looking For<ul><li> Alteryx Certification (required)</li><li> Proven expertise in Alteryx workflow design &amp; development.</li><li> Strong problem-solving and analytical skills.</li><li> Ability to engage with SMEs and translate requirements into solutions.</li><li> Experience in automation of manual/Excel-based processes (EUCs).</li></ul> How to Apply: Please send your resume. Subject line: Resume for Alteryx Certified Engineer Also mention: Current Location, CTC, ECTC, and Notice Period in your application.

Ernst & Young LLP ( EY India )

Testing Engineer

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

Lead - AIML Engineer <ul><li>Experience - 8-12 Yrs</li><li>Positions - 2</li><li>Primary Skills - Python, Data Structures, Machine Learning, Deep Learning, Model Deployment and Gen Al</li></ul> Please share your Updated CV now.

Quadrant Technologies

Systems Server Engineer

Data Science Manager Work on transformative projects in:<ul><li>Generative AI</li><li>MLOps</li><li>Predictive Analytics</li><li>Machine Learning</li><li>Collaborate with brilliant minds in an innovation-driven, inclusive culture</li><li>Unmatched growth opportunities + access to cutting-edge tools</li></ul> What We’re Looking For:<ul><li>Proven expertise in Generative AI &amp; MLOps</li><li>Strong problem-solving &amp; analytical thinking</li><li>Hands-on experience with top AI/ML frameworks</li><li>Experience - 9–14 years</li></ul> What’s in It for You?<ul><li>Solve high-impact challenges in healthcare, finance, retail, and more</li><li>Be part of a global leader in digital transformation</li><li>Thrive in a culture of creativity, learning, and growth</li></ul> Share your updated resume now.

Publicis Sapient Consulting Pvt Ltd

Data Platform EngineerProject Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Alation Data Catalog Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components.
 
Roles &amp; Responsibilities: 
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the implementation of data platform solutions.
- Provide technical guidance and expertise to the team.
- Collaborate with cross-functional teams to drive data platform initiatives.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Alation Data Catalog.
- Strong understanding of data governance principles.
- Experience in data modeling and database design.
- Hands-on experience with data integration tools.
- Knowledge of cloud platforms and data storage solutions.
 
Additional Information: 
- The candidate should have a minimum of 15 years of experience in Alation Data Catalog.
- This position is based at our Bengaluru office.
- A 15 years full-time education is required.

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