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AWS Data Engineer building scalable cloud-native data platforms, designing ETL pipelines with AWS Glue/PySpark, orchestrating workflows via Step Functions and EventBridge, and automating infrastructure with Terraform on S3-based Data Lakes.
Lead Data Analytics Engineer defining, building, and evolving the analytics data layer (warehouses, pipelines, data products) on GCP using BigQuery, Cloud Composer, Dataflow, and Python/SQL, while establishing engineering best practices and mentoring data engineers.
Senior Data Engineer designing, building, and optimizing scalable ETL/ELT pipelines using PySpark, SQL, and Python, with a strong emphasis on Dataiku (DataIQ) integration and cross-functional stakeholder collaboration.
Senior Data Engineer building scalable GCP data pipelines end-to-end—from design through production support—using BigQuery, Python, SQL, Cloud Composer/Airflow, Dataflow/Apache Beam, and Dataform/dbt.
Senior/Lead Data Engineer building and optimizing scalable data platforms and pipelines using Databricks, PySpark, Delta Lake, and AWS/Azure Cloud.
Data Engineer building and optimizing scalable data pipelines and architectures on Azure using Databricks, PySpark, Delta Lake, and CI/CD/DataOps practices.
Senior Data Engineer on a 6-month contract building and maintaining automated ETL/ELT data pipelines for data governance and analytics, primarily using Azure Databricks, Azure Data Lake, and Microsoft Purview.
Design and build data pipelines, warehouses, and predictive analytics models for supply chain data using Python, Java, SQL, Spark, Hadoop, and Azure/AWS cloud platforms at a Life Sciences/Healthcare consultancy.
Lead a team of 8-10 data engineers while spending 30-50% of time hands-on building ETL/ELT pipelines using PySpark, SQL, and Azure cloud, working with enterprise data sources like SAP.
Senior Data Engineer on a 6-month contract building Azure data pipelines and AI solutions using Data Factory, Data Lake, Fabric, Databricks/PySpark, and integrating Azure OpenAI/RAG/LLM capabilities with Power BI reporting.
Senior Data Engineer designing, building, and maintaining scalable ETL/ELT data pipelines and data transformation workflows using DBT, Python, PySpark, SQL, and cloud platforms (GCP preferred).
Senior Data Engineer designing, developing, and maintaining scalable ETL/ELT data pipelines and cloud-based data integration solutions using AWS or Azure, SQL, and Python.
Senior Data Engineer owning data pipelines end to end on a Microsoft Fabric Lakehouse platform, building batch/incremental PySpark pipelines, dimensional models, and Power BI semantic layers with a strong emphasis on data quality and operational excellence.
Senior Data Engineer working on-site in Bengaluru or Hyderabad, building ETL/ELT pipelines and data warehouses using AWS services (Glue, EMR, Redshift, S3, Athena) with Python, PySpark, and SQL.
Senior Data Analytics Engineer designing and maintaining the full analytics data layer—building scalable ETL pipelines, managing BigQuery warehouses, and creating visualizations using GCP (BigQuery, Cloud Composer, Dataflow, PubSub), Python, SQL, and Airflow.
Senior Data Engineer building production Databricks Lakehouse platforms with PySpark, dbt, PostgreSQL, and CI/CD pipelines at Publicis Global Delivery in India.
Senior Data Engineer building and operating ETL/ELT pipelines in Azure and Databricks using Python, PySpark, and SQL for a wealth management platform's billing team in Hyderabad.
Design, build, and support scalable data pipelines and integration solutions for a major bank using Databricks, Spark/PySpark, SQL, and Azure data services to enable analytics and reporting.
Senior Data Engineer building scalable ETL pipelines and data platforms using Apache Spark/PySpark on AWS services like Glue, S3, and Athena for Cloudwick's Amorphic Data Cloud.
Design and build end-to-end data engineering solutions on Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines) and Azure (ADLS Gen2, ADF, Synapse) using PySpark and SQL, with CI/CD via Azure DevOps.
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