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Senior/Lead Data Engineer building and optimizing scalable data platforms and pipelines using Databricks, PySpark, Delta Lake, and AWS/Azure Cloud.
Lead a team of data architects and engineers, owning end-to-end solution architecture for AB InBev's global data platform using Azure/AWS big data stack, Spark, SQL, and containerized microservices.
Build and optimize scalable data pipelines and ETL/ELT workflows for large datasets using Python and SQL on GCP/AWS, focusing on identity resolution and ID graph systems.
Senior Data Engineer in Mumbai designing and maintaining data pipelines, data marts, and data warehouse solutions on AWS and Snowflake to support BI and advanced analytics for internal stakeholders.
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.
Design and deliver data pipelines and ETL/ELT processes for client-facing analytics, architecting and optimising data models and transformations in Databricks using Python, Spark, and SQL at scale.
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.
Design and operate distributed, high-throughput data acquisition pipelines that ingest public financial disclosures from thousands of global sources using Python, async frameworks, and cloud infrastructure.
The Senior Data Engineer will design and optimize scalable data pipelines and cloud-based analytics solutions using the Azure ecosystem. The role involves collaborating in an Agile environment to build robust data integration, transformation, and reporting systems.
Senior Data Engineer building scalable data platforms on Azure using Scala and Spark, handling data ingestion, transformation, and analytics enablement for a digital transformation consultancy.
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.
Design, build, and optimize scalable data pipelines and SQL models for enterprise retail platforms using Snowflake, SQL Server, and Azure.
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.
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