Intl - India - ETL Developer

An Insight Global client has a role seeking a Senior ETL/Data Engineer to design, build, and optimize scalable data pipelines in an AWS-based ecosystem. This position focuses on high-performance ETL workflows leveraging Databricks, Spark, and AWS-native data services. The engineer will support ingestion, transformation, orchestration, data quality, and production reliability for enterprise analytics initiatives. Responsibilities include building and maintaining ETL pipelines, integrating structured/unstructured data, implementing monitoring frameworks, and collaborating with U.S.-based stakeholders to ensure robust, scalable solutions.

7-10 years of hands-on ETL/Data Engineering experience

Strong expertise with Databricks and Apache Spark

Solid experience across AWS data services (Glue, S3, Lambda, EMR, Athena, Secrets Manager)

Strong SQL skills + experience with both relational and NoSQL stores

Experience with CI/CD, Git, and modern data engineering best practices

Strong debugging, performance tuning, and pipeline optimization skills Experience with Python/Scala for data workflows

Familiarity with AWS orchestration tools (Kinesis, SNS/SQS, CloudWatch)

Background in data quality frameworks and data lineage implementation

Exposure to enterprise-scale analytics initiatives

Knowledge of data modeling and job optimization techniques