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Mid-level data engineer, Bangalore, common title and 5-year range create high applicant competition.
Core data engineering skills are highly transferable across industries despite regulated environment preference.
Explicit 5-year requirement plus mandatory AWS, Python, SQL, Terraform skills increase filter strictness.
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Build and maintain cloud-native data products and infrastructure that support scalable, secure, and high-performance applications.
Lead software engineering efforts to deliver projects on time, within budget, and aligned with business and IT strategies.
Mentor and guide junior software development team members to ensure quality and foster technical excellence.
Minimum 5 years of experience in software or data engineering with a focus on cloud-native data solutions.
Proficient in AWS services including AWS Glue, S3, IAM, KMS, Cloudwatch, and strong data engineering skills (ETL/ELT pipeline development).
Mandatory proficiency in Python; SQL preferred; experience with Terraform or similar infrastructure-as-code tools; familiar with CI/CD tools like Jenkins or GitHub Actions.
Bachelor's or Master's degree in Computer Science, Software/Data Engineering, or related field.
Experienced in leading technical teams and implementing engineering strategies that align with business goals in cloud environments.
Strong background in building secure, scalable ETL/ELT pipelines and cloud infrastructure automation.
Comfortable navigating regulated environments and multi-region/multi-currency system complexities with agile delivery methods.