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Popular AWS/data engineer role with metro location and broad AWS skillset increases applicant competition.
Core data engineering skills are transferable across industries, though AWS Glue/serverless specifics slightly narrow fit.
Explicit 8–12 years plus mandatory AWS Glue, Lambda, Terraform, CI/CD and Python enforces strict filters.
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Design, develop, and maintain scalable cloud-native ETL/ELT data pipelines and event-driven architectures using AWS Glue, Lambda, Step Functions, and S3.
Automate infrastructure provisioning and deployment using Terraform, CloudFormation, and CI/CD tools like GitHub Actions and Jenkins.
Collaborate with business and engineering teams to build secure, reliable, and high-performing data solutions that support analytics and operational workloads.
8 to 12 years of experience in Data Engineering and Cloud-based Data Platforms.
Strong expertise in AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Python, SQL, Terraform, and CI/CD pipelines.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
Location requirement: Pune, India.
Experienced in building event-driven, serverless data architectures and scalable ETL/ELT pipelines on AWS at enterprise scale.
Skilled in infrastructure automation, deployment automation, and production support with a strong operational and system reliability mindset.
Ability to translate business requirements into technical solutions working closely with cross-functional teams in a fast-paced environment.