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Popular Data Engineer title, metro Bengaluru location, and broad AWS/data skillset make competition dense.
Data engineering skills (pipelines, AWS, CI/CD) are broadly transferable across industries.
Explicit 7+ years requirement plus mandatory AWS, Terraform, CI/CD and data platform skills increases filter strictness.
Design and build high-performance, real-time data pipelines to support autonomous AI systems in complex enterprise environments.
Implement components from design documentation and functional programming specs, ensuring code is unit-tested, documented, and ready for integration.
Provide work estimates, guide feature development, and take ownership across solution architecture, testing, deployment, and CI/CD pipeline creation.
Minimum 7 years of professional experience in data engineering roles.
Strong Python programming skills for building and maintaining data pipelines.
Hands-on experience with AWS services including IAM, S3, Glue, Lambda, RDS, Firehose, EventBridge, and CloudWatch.
Experience with CI/CD tools such as Jenkins and GitLab, and solid understanding of infrastructure and security via Terraform and tfsec.
Experienced data engineer with deep expertise in building and maintaining complex, scalable AWS-based data pipelines and real-time data processing.
Comfortable owning end-to-end delivery from design through deployment including CI/CD pipeline development and operational support.
Skilled in troubleshooting and ensuring code quality with a solution-oriented mindset and clear communication to cross-functional teams.