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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 building production Databricks Lakehouse platforms with PySpark, dbt, PostgreSQL, and CI/CD pipelines at Publicis Global Delivery in India.
Build and maintain scalable data pipelines using Spark, Scala, Airflow, and Azure Databricks in a hybrid role based in Bengaluru. Work with modern data lakehouse technologies, containerization, and CI/CD practices.
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.
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.
On-site Microsoft Fabric Data Engineer in Noida (evening shift 2–11 PM IST) building and supporting data pipelines, Lakehouse architectures, and Power BI semantic models using Python, PySpark, and SQL.
Senior Data Engineer designing, building, and operating data pipelines and a lakehouse platform on Databricks and Microsoft Fabric using Spark, Python, and SQL.
A Data Engineer who builds and optimizes scalable data solutions on Microsoft Azure using Azure Data Factory, Databricks, PySpark, and Synapse Analytics. The role focuses on developing ETL/ELT pipelines, modern Lakehouse and data warehouse architectures, data integration, and ensuring performance, quality, security, and governance.
Data Engineer responsible for database/data warehouse development, data pipeline creation using Azure and Snowflake, data lake development, and building dashboards in Power BI/Tableau. Core technologies include SQL, Python, Azure (Data Factory, Databricks), and Snowflake.
Build and maintain data pipelines feeding a Databricks lakehouse for an investment division, implementing medallion architecture, security master management, and document intelligence ingestion using Python, PySpark, SQL, and Azure services.
Data Engineer building and operating production data pipelines, lakehouse/warehouse architectures, and CDC pipelines using Python and SQL at IndiaDataHub.
Data Engineer at HOS Global Foods designing, building, maintaining, and optimizing data solutions using T-SQL, Azure Data Services, data warehousing, and ETL/ELT development to support reporting and analytics across the organization.
Data Engineer building production AWS data pipelines (ETL, medallion lakehouse, lineage) for Qubitz, an agentic AI platform serving regulated enterprise clients.
Lead Data Engineer designing and building scalable batch and real-time data pipelines using Scala, Apache Spark, SQL, Kafka, and cloud platforms (AWS/Azure/GCP).
Hands-on Data Engineer II building and maintaining scalable data pipelines on GCP, working with BigQuery, SQL, Python, Dataform/dbt, Cloud Composer/Airflow, and Dataflow/Apache Beam in a hybrid role based in Gurgaon.
Data Engineer designing, building, and operating ingestion, transformation, and Lakehouse pipelines on Databricks and Azure for Masco's enterprise POS and commercial data.
Build and maintain scalable ETL/ELT data pipelines and optimize data infrastructure using Python, SQL, and big data technologies like Spark, Kafka, and cloud data warehouses.
Design, build, and maintain scalable AWS data pipelines and ETL/ELT workflows within a cloud lakehouse environment, enforcing data governance and supporting AI/ML and analytics consumers using Python and SQL.
Hands-on Data Engineer II building scalable batch and incremental data pipelines on GCP using BigQuery, SQL, Dataform/dbt, Cloud Composer/Airflow, and Dataflow/Apache Beam, with a focus on reusable data-platform components.
Senior Data Engineer owning and evolving an Azure Databricks lakehouse platform, building ETL/ELT pipelines with SQL and Python, and leading a small team of Data Engineers for a large NZ organisation.
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