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Senior Data Engineer designing and maintaining real-time and batch data pipelines for SMC Global Securities' financial services and trading platforms, using SQL, Python, AWS (S3, Redshift, Athena, Glue, EMR, Lambda), Airflow, DBT, and Spark within Data Lakehouse architectures.
Design, build, and maintain the analytics data layer—pipelines (Airflow), warehouse (BigQuery), and ETL—on GCP, applying software engineering best practices to deliver BI solutions.
Senior Data Engineer designing and maintaining Snowflake-based ETL/ELT pipelines with SnapLogic and dbt, working US hours from Hyderabad.
Senior Databricks Engineer automating platform operations, CI/CD pipelines, and multi-environment deployments using Databricks, PySpark, SparkSQL, and Azure cloud services.
Senior Data Engineer designing and building scalable data pipelines with Apache Spark, Scala, and Java, plus microservices and Redis caching in distributed environments.
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.
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.
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.
Senior Data Engineer building and supporting a multi-tenant AWS Data Lakehouse platform using Python, PySpark, SQL, and Terraform.
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.
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.
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.
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.
Senior AWS Data Engineer building data lake and database solutions on AWS (Glue, Lambda, Redshift, S3, Kafka), integrating multi-channel campaign platforms like Adobe Campaign and Salesforce Marketing Cloud for Omnicom's marketing technology delivery team.
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.
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.
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