AWS Data Engineer

We are looking for an experienced AWS Data Engineer with a strong background in the Telecom domain to support data pipeline testing and validation for large-scale AWS-based systems. Key Responsibilities Perform end-to-end testing of data ingestion, parsing, aggregation, and schema validation processes in AWS. Conduct stress testing to assess pipeline performance and stability. Develop and execute test plans, test cases, and test scripts to ensure data quality and integrity. Collaborate closely with Data Engineers and Developers to identify and resolve data quality issues. Monitor and report on data quality metrics, implementing improvements to enhance data reliability. Validate data transformations and maintain consistency across multiple data sources. Document findings and provide detailed test and data quality reports. Required Skills and Experience 8–12+ years of overall experience, with strong Telecom domain expertise. Proven hands-on experience with AWS services: EMR, Lambda, Redshift, Firehose, S3, Iceberg, Athena, and DynamoDB. Solid understanding of data ingestion, parsing, and schema validation. Strong proficiency in SQL for data querying and validation. Good scripting skills using Python for automation and data validation. Experience working with data governance and quality frameworks. Excellent analytical, troubleshooting, and communication skills. Preferred Qualifications Experience with data quality assurance in a cloud environment. Strong understanding of data governance principles. Ability to work effectively both independently and within cross-functional teams.