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Senior Data Engineer leading BI Analytics & DWH initiatives—designing ETL/ELT pipelines, data models, and scalable data platforms using Snowflake, Databricks, Azure Data Factory, and Python, while mentoring engineers and partnering with BI teams.
Build and maintain scalable cloud data platforms using Azure and Databricks, developing ETL/ELT pipelines with SQL and Python/PySpark in a senior individual contributor role.
Design and develop scalable data engineering pipelines using Databricks, PySpark, Python, and SQL, building data ingestion, transformation, and analytical data models with a focus on big data processing and performance optimization.
Design, build, and maintain scalable cloud-based data pipelines using Databricks, Apache Spark, Python, and SQL for Energy Trading & Risk Management clients.
Senior Data Engineer responsible for architecting and maintaining scalable data pipelines using Azure Data Services, Azure Data Factory, Azure Synapse Analytics, and dbt in an on-site role in Ahmedabad.
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.
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.
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 designing, developing, and maintaining scalable ETL/ELT data pipelines and cloud-based data integration solutions using AWS or Azure, SQL, and Python.
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.
Senior Data Engineer designing and implementing scalable data warehouse and data engineering solutions, managing data schemas, SQL tuning, and code reviews using Azure, Snowflake, Kafka, DBT, and Python.
Senior Data Engineer designing, building, and operating data pipelines and a lakehouse platform on Databricks and Microsoft Fabric using Spark, Python, and SQL.
Data Engineer developing scalable ETL/ELT pipelines, Azure Data Factory workflows, and Snowflake data warehouse solutions using PySpark, Databricks, and Delta Lake architecture to support BI and AI initiatives.
Data Engineer designing and optimizing Azure-based data pipelines (Databricks, SQL Server, Data Factory) with SQL and Python/PySpark, collaborating with Finance and Portfolio teams.
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 designing, developing, and maintaining scalable ETL/ELT pipelines, data warehouses, and data lakes using SQL, Python, and Big Data technologies (Spark, Databricks) on Azure/cloud platforms for an Azure-focused managed services company.
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