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L3 Support Data Engineer responsible for troubleshooting data discrepancies, performing root cause analysis, and ensuring data quality across systems using Python and SQL in a cross-functional team environment.
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.
Lead and hands-on build data & analytics solutions using Databricks, Informatica, and Tableau on AWS for Eisai's global pharmaceutical data platform, driving BI, AI, and data democratization.
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.
Design and build data pipelines and data models on Azure, Databricks, Snowflake, and Postgres to support AI/ML and computer-vision workflows for a digital transformation services company.
Senior Data Engineer building and maintaining data pipelines, data warehouses, and BI dashboards primarily on Azure and Microsoft Fabric using SQL, Python, and PySpark.
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.
Lead Data Engineer designing and building scalable data pipelines and ETL/ELT architectures on cloud platforms using Apache Spark, SQL, and Python.
Data Engineer building scalable ETL pipelines using Databricks on AWS/Azure, with Python/PySpark and SQL, plus API integrations, SFTP ingestion, and monitoring workflows.
Build and optimize enterprise data integration pipelines using Informatica IDMC (CDI/CAI), SQL, Python, and Unix/Linux scripting in an offshore delivery environment.
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.
Hands-on Technical Lead / Senior Data Engineer leading an offshore BAU Data Engineering team, maintaining and improving GCP data pipelines with a focus on BigQuery, Cloud Composer/Airflow, Python, and SQL production support.
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.
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.
Data Engineering role focused on building stream-processing systems and working with Big Data ML toolkits, primarily using AWS, Snowflake, Informatica, and Python.
Senior Data Engineer building and supporting a multi-tenant AWS Data Lakehouse platform using Python, PySpark, SQL, and Terraform.
Data Engineer building scalable data pipelines and enterprise integrations using Adobe Experience Platform (AEP) and AWS to enable trusted customer data across digital ecosystems.
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