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Full Stack EngineerProject Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Data Science Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As a Full Stack Engineer, you will be responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Utilize development skills to deliver innovative solutions that enhance client services, leveraging new technologies to solve challenging business problems with a cloud-first and agile mindset.
 
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 and mentor junior team members.
- Collaborate with cross-functional teams to drive project success.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Data Science.
- Strong understanding of statistical analysis and machine learning algorithms.
- Experience with data visualization tools such as Tableau or Power BI.
- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
 
Additional Information: 
- The candidate should have a minimum of 15 years of experience in Data Science.
- This position is based at our Pune office.
- A 15 years full time education is required.

Accenture India Private Limited

Full Stack Engineer

Senior Data Engineer <ul><li>Architect and optimize large-scale data pipelines</li><li>Work with cutting-edge tools like MWAA, ECS, Glue, Redshift, Airflow, Terraform</li><li>Collaborate in Agile teams and integrate CI/CD workflows</li><li>Drive innovation with AI/ML workflows and modern observability tools</li></ul> What We’re Looking For:<ul><li>8+ years of hands-on experience in Data Engineering</li><li>Deep knowledge of AWS services and distributed systems</li><li>Strong experience with Databricks (PySpark, Delta Lake), DBT, and data modeling</li><li>Bonus: Experience with Meltano, AI/ML pipelines, and tools like Datadog or Prometheus</li></ul> Share your resume now.

GSPANN Technologies

Data Engineer

Sr/Lead Data Engineer Databricks Position Summary:We are seeking a talented Sr. / Lead Data Engineer with a strong background in data engineering to join our team. You will play a key role in designing, building, and maintaining data pipelines using a variety of technologies, with a focus on the Microsoft Azure cloud platform. Required Experience<ul><li>6 - 8&nbsp;years</li></ul> Responsibilities:<ul><li>Design, develop, and implement data pipelines using Azure Data Factory (ADF) or other orchestration tools.</li><li>Write efficient SQL queries to extract, transform, and load (ETL) data from various sources into Azure Synapse Analytics.</li><li>Utilize PySpark and Python for complex data processing tasks on large datasets within Azure Databricks.</li><li>Collaborate with data analysts to understand data requirements and ensure data quality.</li><li>Hands-on experience in designing and developing Datalakes and Warehouses</li><li>Implement data governance practices to ensure data security and compliance.</li><li>Monitor and maintain data pipelines for optimal performance and troubleshoot any issues.</li><li>Develop and maintain unit tests for data pipeline code.</li><li>Work collaboratively with other engineers and data professionals in an Agile development environment.&nbsp;</li></ul>&nbsp;Preferred Skills &amp; Experience:<ul><li>Good knowledge of PySpark &amp; working knowledge of Python</li><li>Full stack Azure Data Engineering skills (Azure Data Factory, DataBricks and Synapse Analytics)</li><li>Experience with large dataset handling</li><li>Hands-on experience in designing and developing Datalakes and Warehouses</li></ul>&nbsp;

New Vision Softcom And Consultancy Private Limited

Business Intelligence Professionl We are looking for a highly skilled Business Intelligence professional with strong expertise in Tableau and Amazon QuickSight. The role involves migrating existing Tableau dashboards into QuickSight, ensuring accuracy, scalability and improved user experience.Essential Skills:<ul><li>We need someone who is strong in Tableau and quick sights as this person will be taking dashboards from Tableau and building them in Quick Sights.</li></ul> Desirable Skills:<ul><li>We need someone who is strong in Tableau and quick sights as this person will be taking dashboards from Tableau and building them in Quick Sights</li></ul> <ul><li>Skill Required: Digital : BI Data Visualization - Tableau~ORACLE SQL</li><li>Experience Range : 10 Years</li></ul> Share your updated resume now.

Natobotics

Business Intelligence Analyst

Senior Associate Data Engineering L2 DE - Big Data Azure The Senior Associate People Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution&nbsp;&nbsp;Your Impact:<ul><li>Data Ingestion, Integration and Transformation</li><li>Data Storage and Computation Frameworks, Performance Optimizations</li><li>Analytics &amp; Visualizations</li><li>Infrastructure &amp; Cloud Computing</li><li>Data Management Platforms</li><li>Build functionality for data ingestion from multiple heterogeneous sources in batch &amp; real-time</li><li>Build functionality for data analytics, search and aggregation</li></ul> QualificationsYour Skills &amp; Experience:<ul><li>Minimum 3 years of experience in Big Data technologies</li><li>Hands-on experience with the Hadoop stack – HDFS, sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow, and other components required in building end-to-end data pipelines. Working knowledge of real-time data pipelines is added advantage.</li><li>Strong experience in at least the programming language Java, Scala, and Python. Java preferable</li><li>Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDB, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery, etc.</li><li>Well-versed and working knowledge with data platform-related services on Azure</li><li>Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the position</li></ul> Set Yourself Apart With:<ul><li>Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands-on experience</li><li>Knowledge of data governance processes (security, lineage, catalog) and tools like Collibra, Alation, etc</li><li>Knowledge of distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search &amp; indexing, and Microservices architectures</li><li>Performance tuning and optimization of data pipelines</li><li>Cloud data specialty and other related Big data technology certifications</li></ul>

Publicis Sapient Consulting Pvt Ltd

Specialist, Statistical AnalysisCalling all innovators – find your future at Fiserv.We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.Job TitleSpecialist, Statistical AnalysisWhat does a successful Specialist, Statistical Analysis do at Fiserv? Fiserv is looking for a talented specialist who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues. What you will do: <ul><li>Drive new business engagements with clients and grow existing client engagements.</li><li>Liaison with the client to understand business problem, processes, and implementation challenge.</li><li>Leverage data to analyze the business unit function, identify the business drivers and recommend strategy and future course of actions.</li><li>Manage end to end delivery including requirement gathering, solution design and business recommendation. Work closely with statisticians to develop solution framework - Identify statistical techniques, implementation mechanism, tracking campaigns and pilots.</li><li>Conceptualize modeling framework, define data requirement, create predictive variables and co-ordinate model implementation with other business partners, and create experimental designs to understand drivers of business performance.</li><li>Should have domain expertise in the banking and risk domain to shape the solution framework and developing business strategies to drive incremental value to the business.</li><li>Should have expertise in advanced statistical techniques to validate the model outcomes generated by the statisticians and align it with the business needs and implementation plan.</li><li>Develop analytics proof of concepts on emerging trends in banking areas to develop new analytical products for Fiserv.</li><li>Collaborate with the model development team to provide feedback and recommendations for model improvements based on validation results.</li><li>Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations.</li></ul>What you will need to have:<ul><li>Bachelor’s degree in Statistics/mathematics or equivalent qualification.</li><li>5-8 years of experience in solving business problems by applying advanced statistics.</li><li>Expertise in developing business presentations.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills, both verbal and written.</li></ul>What would be great to have:<ul><li>Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Solid understanding hypothesis testing, and validation methodologies.</li><li>Experience with data manipulation, feature engineering, and data preprocessing techniques.</li><li>Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.</li><li>Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.</li></ul>Thank you for considering employment with Fiserv.  Please:<ul><li>Apply using your legal name</li><li>Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).</li></ul>Our commitment to Diversity and Inclusion:Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies:Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.Warning about fake job posts:Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.<h4>Experience Level</h4>Senior Level

Fiserv India Pvt Ltd

Research Analyst

GCP Data Engineer What We're Looking For:<ul><li>5–9 years of experience in DB/SQL or Java/Python development</li><li>Strong SQL skills with experience in complex queries and data transformation</li><li>Hands-on with GCP components like Dataflow, Composer, BigQuery, Data Fusion</li><li>Experience in building data pipelines and dashboards (Data Studio is a plus)</li><li>Excellent communication and problem-solving skills</li></ul> Experience: 5-9 years relevant If interested, kindly share your updated CV with below details:Current and Preferred Location:Overall and relevant experience with GCP:Current and expected CTC:Notice Period/LWD(If serving):

TEKsystems Global Services Pvt Ltd

Senior Data Scientist - Global Data and AnalyticsRelocation Assistance Offered Within Country Job Number #168856 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.   Role Summary : <ul><li>The GLOBAL DATA SCIENCE &amp; ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. </li><li>The Data Scientist position would lead GLOBAL DATA SCIENCE &amp; ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive</li><li>The role would require, to work on a range of GLOBAL DATA SCIENCE &amp; ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling</li><li>Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects </li></ul>    Responsibilities : <ul><li>Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases</li><li>Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business</li><li>Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations </li><li>Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built</li><li>Deploys models using Airflow, Docker on Google Cloud Platforms</li><li>Own Pricing and Promotion, Marketing Mix from scoping to delivery</li><li>Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL </li><li>Present insights in an easy to interpret way to the business teams </li><li>Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets</li><li>Ready to work closely with business partners across geographies</li></ul>   Required  Qualifications : <ul><li>BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics</li><li>5+ years of experience in building statistical  models and driving insights </li><li>Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc.</li><li>Hands on experience on coding languages Python(mandatory) and SQL</li><li>Knowledge of using GitHub, Airflow for coding and model deployments </li><li>Understand visualization frameworks PyDash, Flask, PlotLy</li><li>Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.</li><li>Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment</li></ul>    Preferred Qualifications : <ul><li>Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models</li><li>Experience with third-party data i.e., syndicated market data, Point of Sales, etc. </li><li>Working knowledge of consumer packaged goods industry </li><li>Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.</li><li>Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)</li><li>Knowledge of deployment of models in Cloud Environment using Airflow, Docker</li></ul> Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdaxk_eF4utznQoVHlxmL9jVFJbOkM4Oe5CAdKOg-h9EPdLfg/viewform" target="_blank">request form</a> should you require accommodation. #LI-Remote<h4>Experience Level</h4>Senior Level

Colgate - Palmolive India Ltd

Data Scientist

Sr. Data Engineer Skills - AWS Glue, SQL, Pyspark, Python, DatabricksExperience - 4 yearsNo. of Openings - 2 Share your resume now.

Dev Information Technology LTD

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.

Cito Techno

Data Scientist (Image Processing) We’re looking for Data Scientist with expertise in image processing and the following skills:<ul><li>Strong understanding of supply chain and supplier performance evaluation</li><li>Experience in procurement, supplier management, logistics, and plant operations</li><li>Proficiency in Python, PySpark, SQL, Power BI (Advanced), Databricks, Azure/AWS</li><li>Machine Learning, Data Visualization, TensorFlow, PyTorch</li><li>Power BI Desktop &amp; Service (Advanced): DAX, custom visuals, Python integration</li><li>ML &amp; AI: Predictive modeling, regression, classification, clustering, anomaly detection</li><li>Data wrangling: Pandas, NumPy, Scikit-learn, PySpark</li><li>Dev skills: Bash, Java Core, Spring Boot, REST, Gradle</li><li>Excellent communication and stakeholder management skills</li><li>Bonus: German language proficiency</li></ul> Notice period: Immediate to max 30 daysExperience: 3 – 6 Years If interested, share your updated CV.

Capgemini

Data Governance Specialist – Collibra We’re looking for experienced Collibra Professionals to play a critical role in designing, implementing, and optimizing data governance processes and solutions, with a strong focus on Collibra Data Catalog (mandatory) and Collibra Data Quality (DQ).Experience: 5+ YearsNotice Period: Immediate to 20 DaysScope: Critical role in designing, implementing, and optimizing data governance processes and solutions, particularly leveraging the Collibra platform – catalogue (mandatory) and DQ. Technical Expertise <ul><li> High level of proficiency in using Collibra Data Catalog for data governance activities, including workflow development and operational model design. </li><li> Expertise in metadata management and implementing metadata cataloging processes to enhance data discoverability, accessibility, and governance. </li><li> Proven experience supporting the design and implementation of data governance frameworks, policies, and procedures that ensure data integrity, security, and regulatory compliance. </li><li> Proficiency in Collibra workflow development, including custom workflow creation and optimization. </li><li> Familiarity with integration architecture to enable seamless interoperability between Collibra and other enterprise systems. </li><li> Collibra Ranger Certification </li><li> Collibra DQ expertise </li><li> Proficiency in Microsoft Office applications, especially Excel, for reporting and data analysis; SQL, HTML </li></ul> Functional Responsibilities <ul><li> Collaborate with cross-functional teams to establish and maintain data stewardship and ownership roles. </li><li> Manage metadata to ensure accuracy, consistency, and accessibility across the enterprise. </li><li> Implement and manage metadata cataloging processes to improve data discoverability and usability. </li><li> Utilize Collibra to drive data governance activities and provide training to teams to enhance adoption and maturity. </li><li> Lead or assist in project management activities related to data governance initiatives, ensuring timely delivery and stakeholder alignment. </li><li> Provide expert guidance and support to metadata stewards, ensuring compliance with governance policies. </li><li> Conduct training sessions, workshops, and demos for various stakeholders, including senior management, to promote data governance awareness and adoption. </li><li> Facilitate technical architecture discussions and provide recommendations aligned with industry best practices and organizational standards.</li></ul> If&nbsp;Interested, Share your CV.

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