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Lead Azure Databricks Engineer designing, building, and optimizing scalable ETL/ELT data pipelines using Azure Databricks, PySpark, SQL, and Python on the Azure platform.
Support and improve the Databricks enterprise platform and ETL pipelines through automation, monitoring, and AI-driven initiatives, using Python, Spark/PySpark, SQL, and AWS services in a hybrid SRE-focused role.
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 building and maintaining data pipelines, data warehouses, and BI dashboards primarily on Azure and Microsoft Fabric using SQL, Python, and PySpark.
Data Engineer building scalable ETL pipelines using Databricks on AWS/Azure, with Python/PySpark and SQL, plus API integrations, SFTP ingestion, and monitoring workflows.
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.
Technical Lead designing and building large-scale data pipelines on AWS and Databricks using Python, PySpark, Kafka, and Airflow, with 90% hands-on development and 10% mentoring.
Data Engineer building ETL pipelines on AWS using PySpark, SQL, Airflow, and services like S3, EMR, and Glue.
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.
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.
Senior Data Engineer building and supporting a multi-tenant AWS Data Lakehouse platform using Python, PySpark, SQL, and Terraform.
Senior Data Engineer building data pipelines and ETL workflows on AWS and Databricks, working with big data technologies like Spark, Snowflake, and Airflow in a media-domain context.
Design, develop, and optimize big data ETL pipelines using Apache Spark and Databricks on Azure cloud, while collaborating with analysts and implementing CI/CD and security best practices.
AWS Data Engineer at TCS responsible for designing, building, and optimizing scalable data pipelines and analytics solutions on AWS using services like Glue, S3, EMR, Redshift, Databricks, and PySpark.
GCP Data Engineer role focused on building and maintaining data pipeline architecture, data warehouse modernization, and cloud-based data lakes using Google Cloud Platform big data technologies and PySpark.
Senior Data Engineer on a 12-month contract focused on Python, SQL, PySpark, Apache Spark, and Cloud technologies, with a preference for Chennai-based candidates for face-to-face discussions.
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.
Design, build, and support scalable data pipelines and integration solutions using Azure Databricks, Spark/PySpark, and Delta Lake for a major bank's analytics, reporting, and risk management needs.
Lead Data Engineer building data pipelines for analytics and data science use cases on Big Data platforms, primarily using Spark, Scala, Hadoop, and Hive.
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