1,956 good data lab jobs in India.

... Posted 2 weeks ago Job Be an early applicant About the job Job Purpose: Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing ...

... Redshift, Snowflake). Solid understanding of data modeling, schema design, and versioned datasets. Data Governance and Security: Understanding and implementing data governanc policies and security measures. Proven experience in building resilient, production-grade pipelines and troubleshooting live systems. Good working knowledge ...

• Hybrid

... Transformation: Dataform, dbt Engineering: Git, CI/CD, Automated Testing, Monitoring Data Engineering: ETL/ELT, Batch Processing, Data Modelling, Data Quality, Data Contracts, Metadata & Lineage Good to Have Apache Iceberg or modern lakehouse technologies. Streaming or event-driven processing. Data Product / Data Mesh concepts. ...

... experience in working with large datasets, building data pipelines, and writing efficient, scalable Python code. Key Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, ...

• Remote

... Interpret trends and patterns in complex datasets Present insights to stakeholders in a clear and actionable manner Write SQL queries to extract and manipulate data Automate data processes where possible Collaborate with business, product, and tech teams Required Skills & Qualifications: Education: ~ Bachelor's degree in ...

... members is maximized throughout the year Desired Skills: - Good level of proficiency in a structured programming language, e.g. Python, R. - Experience designing data science solutions to business problems - Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. - Comfortable ...

• Hybrid

... platforms Design & deliver data warehousing solutions and key data engineering workstreams for any required solution. Support cross-functional teams across the data space. 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models - 3+ years of experience in Python and SQL ...

• Full-time

... complex, scalable, and production-ready Tableau dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, ...

LOCATION : Gurgaon, Noida, Bangalore, Pune, HyderabadJOB OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development ...

... process and orchestrate datasets. Perform routine data monitoring, quality checks, and troubleshooting to maintain data integrity and workflow performance. Collaborate with data analysts, data scientists, and senior engineers to deliver data solutions. Document workflows, dataset schemas, and data engineering best practices. ...

• Remote
• Hybrid
• On-site

... drives / memory / transceivers and other hardware related tasks, as required by our server and network teams. Assisting with planning equipment moves or new data center build-outs. Coordinating the packing, shipping, and logistics of equipment to and from remote colocation sites. Maintaining data center documentation. ...

... and data processing logic using Java. Build and maintain DAGs in Apache Airflow for orchestration and automation of data workflows. Ensure the reliability, scalability, and efficiency of data pipelines for ingestion, transformation, and storage. Work with cross-functional teams to understand data needs and deliver high-quality ...

• Contract

... Own end-to-end delivery of data products—from raw source data ingestion through transformation to governed, consumption-ready datasets. Collaborate with the Data Platform team on pipeline integration, CI/CD workflows, and adherence to shared coding and deployment standards. - Data Quality & Analysis: Implement data quality ...

... Architects to identify system configuration needs and document functional requirements Ensure solution compatibility with documented architecture, security, and data standards Collaborate with other IT delivery teams to ensure efficient and effective design, development and implementation of end-to-end solutions Follow standard ...

• Hybrid

... MAKE AN IMPACT Job Title: Data Engineer _DEPS Experience: 3–5 Years Location: Bangalore and Pune (Hybrid – Client Office) Job Summary: Seeking a skilled Senior Data DevOps Engineer having experience in Cloudera platforms, data engineering, and DevOps automation. The ideal candidate will manage and optimize Cloudera environments, ...

• On-site

... efficient code using Scala and Spark - Work with Azure or on-premises Hadoop ecosystem for data processing - Solve real-world engineering problems related to data infrastructure - Collaborate with cross-functional teams to deliver data-driven solutions - Ensure data quality, reliability, and performance across data systems ...

• Hybrid

... own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Title: GCP Data Engineer Position: Data Engineer Experience: 5+ Years Work Mode: Hybrid (Capco Office) Design and develop scalable data pipelines using GCP and BigQuery. Build data ingestion pipelines ...

• Hybrid

... powering self-serve analytics. Write performant Spark/PySpark and SQL; optimize partitioning, storage formats, and query cost. Data Quality & Reliability (10%) Own data quality: validation, freshness/SLA monitoring, and observability so bad data is caught before it reaches consumers. Make the data layer debuggable: lineage, tests, ...

... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...

... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.