2,060 good data lab jobs in India.

... reliability of 2K’s data ecosystem. This role applies DevOps principles to data engineering, managing CI/CD for data assets, Infrastructure-as-Code (IaC), and advanced data observability. focuses on complex problem-solving, optimizing cross-functional data flows, and ensuring that data infrastructure is scalable, secure, and highly ...

... responsible for designing and developing scalable data pipelines using Azure Databricks, Data Factory, and Data Lake , along with building ETL solutions and enabling data-driven insights. Design and develop ETL pipelines using ADF for data ingestion and transformation. Collaborate with Azure stack modules like Data Lakes and SQL ...

... forecasting, and presenting key metrics to business leaders while collaborating with stakeholders to support strategic decision-making. Key Responsibilities Query large datasets using SQL to extract and manipulate data. Maintain and optimize databases on the data warehouse. Prepare and present weekly business reviews (WBRs), forecasts, ...

... proficiency (should handle basic queries comfortably) - Clear understanding of data engineering concepts - Experience with: - Git - SDLC / CI-CD pipelines - Good communication and articulation skills - Ensure candidates have: - Strong fundamentals - Practical coding ability - Clear communication About NTT DATA NTT DATA ...

... Skills - 3–6 years of experience in data analysis, business process analysis, task mining or process mining. - Strong proficiency in SQL and Python/Pandas for data transformation and analysis (Pandas, NumPy, regex, data manipulation). - Ability to handle large data sets and work with structured and semi-structured event ...

... governance processes. Proficiency in Agile methodologies (Scrum/Kanban) and managing IT backlogs in a collaborative, iterative environment. Preferred experience with: Data cataloging/governance tools (e.g., Real-time/event-driven data processing using Pub/Sub , Kafka , or similar platforms. Good experience on Agile Methodologies ...

... multiple data pipelines and domains.- Define and drive automation strategies to validate complex ETL logic and business rules in platforms like Snowflake and Databricks.- Collaborate with data engineers, analysts, and product managers to ensure the completeness, accuracy, and integrity of data across systems.- Oversee the ...

Architect and lead the development of complex, scalable data pipelines using technologies like Scala, Spark, Python, and Airflow. Set technical standards and best practices across data engineering teams. Oversee AWS-based data infrastructure (S3, Redshift, Glue, EMR), ensuring reliability and performance at scale. Mentor ...

... cost-conscious mindset. Build with security by design — least-privilege access, encryption, secrets management, and safe handling of sensitive client and AI data throughout the pipeline. Collaborate across delivery teams spanning multiple time zones, and contribute to engineering standards and reusable assets. AWS certification ...

... Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : AWS Glue Good to have skills ...

... engineering, data mining within a fast-paced environment. Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale. Moderate level experience with architecture and design of secure, highly available and scalable systems. Familiarity with automation, ...

... - Experience in legacy data technologies such as SQL Server, Oracle, traditional ETL tools, or Data Warehouse platforms. - Experience in ETL/ELT development, data ingestion, transformation, and data pipeline implementation. - Good understanding of Data Warehousing, Data Modeling, and dimensional concepts. - Ability to migrate ...

... large transactional datasets. Ability to independently pull, clean, and structure data without heavy hand-holding. Comfortable working with payment/transaction data (. (success rates, failures, settlements, reconciliation). Clear communicator who can turn raw numbers into simple, actionable insights. Good-to-haves :- Experience ...

... Useful, Trainable On-the-Job) Foundation in Python, Pandas , and EDA workflows. Understanding of EdTech KPIs like retention, engagement, and churn. Optional/Good-to-Have (Growth Path Skills) Familiarity with DBT for scalable data modeling. Exposure to basic ML concepts (classical ML, feature engineering, evaluation, etc.). ...

... Databricks - Excellent programming skills in SQL and Python - Strong understanding of Data Warehousing, Data Modeling, and ETL/ELT concepts - Experience with Azure Data Factory, Azure Storage, Azure DevOps, and Data Lakehouse - Strong analytical and problem-solving skills - Good verbal and written communication skills

... 7+ years of experience as a NLP and Python developer. · Experience with Pandas, NumPy, Scikit, NLP a must have - Key fundamentals in object-oriented design, data structures and systems. - Ability to integrate multiple data sources into a single system. - Familiarity with testing tools. - Ability to collaborate on projects ...

... WFO)Shift: General ShiftJob Description:We are looking for a Data Engineer with 4-6 years of experience in building and managing scalable data pipelines and modern data platforms. The ideal candidate should also have exposure to AI-powered tools and automation, with the ability to leverage AI to improve data engineering processes ...

... and software engineers to ensure seamless data integration and streaming capabilities using AWS MSK. Responsibilities: - Design, develop, and manage real-time data pipelines using AWS MSK - Integrate AWS MSK with various data sources and consumers - Monitor and optimize AWS MSK cluster performance and costs - Collaborate ...

... Skills: Proficiency in Data Engineering, Python (Programming Language), Data Wrangling, Data Mining. Experience with Python (Programming Language), Data Wrangling, Data Mining. Strong understanding of data integration techniques and data modeling concepts. Experience with designing and implementing scalable data pipelines and ...

... generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Microsoft Azure Databricks, Microsoft Azure Analytics Services, ...