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Azure Data Engineer role at TCS in Bengaluru, working with Databricks, PySpark, Azure Data Factory, ADLS, and DevOps.
Lead enterprise data platform and analytics initiatives with a focus on Azure Data Factory, Databricks, PySpark, and GenAI/Azure OpenAI solutions, while providing technical leadership and mentoring.
Lead Data Engineer overseeing enterprise-scale ETL and data modernization projects, architecting pipelines with Python, PySpark, Informatica, Databricks, Snowflake, ADF, and AWS Glue while mentoring a team of data engineers.
Azure Data Engineer role focused on Azure Data Factory and Azure Databricks, requiring at least 5 years of relevant experience and based in Bangalore.
Azure Data Engineer building ETL/ELT pipelines and data warehousing solutions using Azure Databricks, Data Factory, Synapse Analytics, and Spark technologies.
Lead Data Engineer at IndusInd Bank in Mumbai, architecting and building a cloud-native Azure Databricks data platform with PySpark, leading a team of data engineers and analysts to deliver scalable lakehouse architectures and BI solutions.
Senior Data Engineer designing and building data pipelines, data warehouses, and ETL/ELT processes on Azure, using SQL, Python, Spark, and tools like Data Factory, Databricks, and dbt.
Lead Azure Databricks Engineer designing, building, and optimizing scalable ETL/ELT data pipelines using Azure Databricks, PySpark, SQL, and Python on the Azure platform.
Data Engineer designing, building, and supporting scalable data pipelines and integration solutions using Databricks, Spark/PySpark, SQL, and Azure data services for a major North American bank's tech hub in Hyderabad.
Senior Data Engineer designing and maintaining enterprise-scale data ingestion and integration solutions using Microsoft Fabric, Azure Data Services, SQL Server, and ETL/ELT pipelines.
Senior Data Engineer building scalable cloud data pipelines and modernizing enterprise data platforms using Python, SQL, and cloud services (Azure/AWS/GCP) with tools like Databricks, Snowflake, and Spark.
Azure Data Engineer role at TCS Noida involving data ingestion, transformation, storage, warehousing, and modeling using Azure cloud services like Data Factory, Databricks, Synapse Analytics, and Python/PySpark.
Design, develop, and maintain scalable data pipelines and architectures using Azure Data Factory, Databricks, Snowflake, Denodo, Python, and SQL to deliver data for reporting and insights.
Lead Data Engineer/Data Architect designing and implementing enterprise-scale cloud data platforms (Azure, AWS, or GCP), including data lakes, lakehouses, and warehouses using Python, SQL, and tools like Databricks, Snowflake, or Spark.
Lead Data Engineer architecting cloud-native data platforms (data lakes, lakehouses, warehouses) for PE portfolio companies, using tools like Databricks, Snowflake, Azure Synapse, dbt, and AI tooling to build AI-ready analytics infrastructure.
Senior Data Engineer designing and building cloud-native data platforms (Snowflake, Databricks, BigQuery, etc.) with ELT/ETL pipelines, CI/CD, and AI-ready infrastructure for a financial consulting firm serving private equity portfolio companies.
Lead Data Engineer designing and optimizing scalable ETL/ELT pipelines on Azure Databricks using PySpark, SQL, and Python, working with Delta Lake, ADLS, and Azure Data Factory.
Senior Databricks Data Engineer responsible for migrating enterprise data platform from Informatica to Azure Databricks, developing data pipelines using PySpark and SQL, and implementing Delta Lake architecture with Medallion principles.
Lead Data Engineer providing hands-on technical leadership for Oracle GoldenGate CDC replication solutions, moving data from on-prem/AWS to Azure Fabric with 10+ years of experience required.
Senior Data Engineer building scalable data infrastructure, ETL/ELT pipelines, and data warehousing solutions using Azure Data Factory, Databricks, Snowflake, Redshift, and SQL to power BI and analytics for business users.
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