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Build and own data pipelines and models for a defense-tech platform, using SQLMesh, Palantir Foundry, and AWS Athena to power real-time analytics and AI-driven command systems.
Data Engineer at atmira in Valencia building and maintaining data ingestion and ETL/ELT pipelines on AWS: processing data in Amazon S3, modeling tables and datamarts in Amazon Redshift, writing SQL queries and procedures, and supporting deployments, code reviews and backlog work. Stack includes Python, PySpark/Spark, Talend and Power BI.
Senior Azure Data Engineer at consultancy Capitole in Valencia, Spain, designing, developing and industrializing cloud data pipelines and scalable data models for analytics and AI using Databricks and Azure services (Synapse, Data Factory, Data Lake, Event Hub, Data Explorer) within Agile/DevOps teams. Requires 3+ years of data pipeline experience, Python/PySpark/SQL skills, and advanced English.
Data Engineer who owns and maintains all data pipelines feeding internal analytics for a client of Driven by Data, working 100% remotely in an Agile/JIRA setup with direct contact with business owners. Core stack: Python, SQL, PySpark, Airflow, AWS (S3, EMR, Step Functions, SageMaker), Snowflake, Jenkins, CloudWatch and Grafana.
The Data Engineering Lead (BI Analytics & DWH) designs scalable BI and data warehouse solutions, builds ETL pipelines and data models, and develops interactive Power BI/Tableau dashboards. Core stack includes SQL Server/SSIS, Python, Azure Databricks, and cloud warehouses, while mentoring junior BI developers.
TCS is hiring an Azure Data Engineer in Chennai to design, build, and optimize scalable data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, Synapse, ADLS, and SQL, with transformation work in PySpark, Python, and Spark. Requires 5+ years of experience; interview is face-to-face.
Senior (7–8+ yrs) data engineer role in Bangalore acting as an Azure Databricks subject-matter expert: building ETL/ELT pipelines with PySpark, Python, SQL and Scala on Delta Lake/Medallion architecture, using ADLS Gen2, Azure Data Factory, Databricks Workflows/DLT/Structured Streaming, Unity Catalog, and Azure DevOps CI/CD.
A senior data engineering lead who directs a team building data pipelines, transformations, and data models using SQL, Databricks, PySpark, Snowflake, Microsoft Fabric, Informatica, Azure Data Services, and AWS, plus SAP BDC/Datasphere/Analytics Cloud. Focus areas include data governance, reusable data products, and supporting AI/ML and analytics needs.
Senior Data Engineer at UsefulBI designing and maintaining large-scale data pipeline architecture and ETL infrastructure for analytics on very large datasets. Core stack: Python, PySpark, Databricks, SQL, and AWS/Azure cloud platforms, with statistical/ML work using R and SAS.
Senior Azure Data Engineer (6+ years) in Chennai who designs, builds, and maintains scalable ETL/ELT data pipelines and large-scale data processing on Azure, working day to day with Python, PySpark, Azure Databricks, and Snowflake, with emphasis on performance tuning, data quality, and governance.
Full-time Data Engineer role in Bangalore with 3-4 years of experience building ETL/ELT data pipelines on Azure Databricks. Day-to-day work involves PySpark, Python, SQL, Delta Lake (Medallion Architecture), ADLS Gen2, Azure SQL, ADF, and CI/CD via Azure DevOps.
ADM (a global nutrition company) is hiring a Senior Data Engineer in Bangalore to build and optimize large-scale data pipelines on Azure Databricks. Day-to-day work centers on Python/PySpark, Databricks Workflows and Asset Bundles, GitHub Actions CI/CD, and designing data warehouse/data mart solutions.
Senior Data Engineer who builds and productionizes AWS data pipelines, AI agents, and Python backend services from design through deployment. Core stack: Python, PySpark, AWS Glue, S3, Athena, Step Functions, and Amazon Bedrock for LLM/GenAI agent development.
A junior data engineer role in Bangalore (on-site, full-time) building and supporting Azure cloud data pipelines: ingestion, ETL/ELT, and transformations with Azure Databricks, PySpark, SQL, and Python, using Delta Lake, Medallion Architecture, ADLS Gen2, and CI/CD via Azure DevOps. Requires 2–3 years of hands-on project experience.
TCS is hiring an Azure Data Engineer in Gurugram with 5+ years of experience to build and optimize big-data pipelines using Azure Data Factory, Databricks, Synapse/Data Lake and SQL, orchestrated with Airflow and Azure DevOps. Python/PySpark and DevOps tooling (PowerShell, Jenkins, Terraform) are also valued.
Tata Consultancy Services is hiring an Azure Data Engineer with 6-10 years of experience for work-from-office roles in Chennai, Kolkata, Hyderabad, or Pune. The role centers on building Lakehouse and Delta Lake solutions with Databricks, PySpark, and Python, plus exposure to AWS/GCP, Hadoop, and ML/LLM Ops.
Lead Data Engineer at Coforge building and maintaining scalable ETL/ELT pipelines, DBT models, and cloud-based data workloads (GCP preferred). Core stack is DBT, Python, PySpark, SQL, and data modeling; requires 8-10 years of experience on-site in Greater Noida, Pune, or Hyderabad.
Senior Data Engineer (6-12 years) building and maintaining scalable data transformation pipelines using Python, Azure, PySpark, and Databricks, with PostgreSQL/MongoDB databases. Day to day involves ETL/ELT development, calculation engines, optimization for large datasets, and collaboration in Agile engineering teams.
Data Engineer II (SDE-2) at Fam (formerly FamPay), India's payments app for teens, building a scalable data lakehouse targeting sub-minute latency. Day-to-day involves complex CDC pipelines, PySpark/SQL development, AWS infrastructure, Airflow/Temporal orchestration, and AI-assisted engineering.
On-site senior data engineer in Hyderabad building scalable, production-grade data pipelines and lakehouse infrastructure that power machine learning models and analytics. Core stack includes DBT, Databricks/PySpark, Airflow/Prefect, Delta/Iceberg, and AWS services such as Redshift, with a 07:30 PM IST onwards shift.
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