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Data Engineer building scalable data pipelines and enterprise integrations using Adobe Experience Platform (AEP) and AWS to enable trusted customer data across digital ecosystems.
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.
Technical Lead for Data Engineers building and maintaining data pipelines using DBT Core and Amazon Redshift, with Airflow orchestration. Responsible for technical direction, code quality, and problem-solving across the data engineering pod.
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.
Lead Data Engineer designing and maintaining large-scale data platforms, data lakes, and cloud solutions for a bank; builds ETL/ELT data pipelines using Snowflake, AWS, SQL, and tools like IBM DataStage and DBT to support enterprise data warehousing.
AWS Data Engineer building scalable cloud-native data platforms, designing ETL pipelines with AWS Glue/PySpark, orchestrating workflows via Step Functions and EventBridge, and automating infrastructure with Terraform on S3-based Data Lakes.
Senior Data Engineer in Mumbai designing and maintaining data pipelines, data marts, and data warehouse solutions on AWS and Snowflake to support BI and advanced analytics for internal stakeholders.
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.
Senior Data Engineer working on-site in Bengaluru or Hyderabad, building ETL/ELT pipelines and data warehouses using AWS services (Glue, EMR, Redshift, S3, Athena) with Python, PySpark, and SQL.
Senior Data Engineer building scalable ETL pipelines and data platforms using Apache Spark/PySpark on AWS services like Glue, S3, and Athena for Cloudwick's Amorphic Data Cloud.
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 designing and maintaining Spark/PySpark ETL pipelines on AWS (S3, Glue, Redshift, Athena), building BI dashboards, and optimizing cloud costs and query performance.
Data Engineer at GMG designing and maintaining scalable ETL pipelines using AWS (Glue, Lambda, Athena, Redshift, S3, SNS) and Databricks with PySpark and SQL, with emphasis on performance tuning, cost optimization, and security governance.
Data Engineer designing and building AWS-based data migration pipelines (S3, Glue, Redshift, Lambda) to move legacy CRM data into Salesforce, working from the Hyderabad office.
AWS Data Engineer building and optimizing scalable data pipelines and cloud data solutions using AWS Glue, S3, Redshift, Lambda, Python, SQL, and PySpark in Chennai.
AWS Data Engineer designing, developing, and maintaining scalable cloud-native data engineering solutions on AWS. Builds ETL/ELT pipelines and modern data platforms using AWS Glue, S3, Redshift, Lambda, PySpark, Python, and Snowflake for global insurance clients.
Build and maintain scalable data pipelines, Python services, and cloud-native data products in a DevOps/DataOps model, applying software engineering best practices to deliver reliable, reusable data solutions for analytics and business needs.
Overview Cigna International Health is seeking a skilled Cloud Data Engineer to architect, develop, and optimise robust AI data solutions on cloud platforms. This role is pivotal in building and maintaining the…
Cloud Data Engineer building and maintaining AI/data infrastructure on AWS, including ETL/ELT pipelines with Spark/Glue/Databricks, IaC with Terraform, and CI/CD, using Python and SQL.
This Data Engineer role involves leading a team to build and maintain robust data pipelines, migrate legacy systems to Snowflake, and optimize cloud infrastructure using AWS Glue, Python, and Spark. The position focuses on BAU operations, production support, and collaborating with stakeholders to ensure data quality and scalability.
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