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Tier-1 bank, Bengaluru metro, mid-level generalist Data Engineer with broad cloud/ETL requirements increases competition.
Core data engineering skills transfer across industries, but banking compliance and product practices increase sector sensitivity.
Multiple mandatory technical skills, cloud/security requirements and regulated banking context create strict selection filters.
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Design, develop, and deliver scalable and secure data engineering solutions including ETL pipelines and data products for Tesco Tenancy on EDP.
Collaborate cross-functionally to translate business requirements into technical solutions aligned with solution architecture and BUK CDAO tech tooling strategy (e.g., EDP capabilities, Databricks).
Lead or guide teams in complex technical problem solving, code quality, and adherence to security and compliance standards.
Experience required in ETL, data processing, data warehousing, data engineering, RDBMS, PySpark.
Proficiency with Python programming and AWS cloud services (EC2, S3, Lambda, RDS, DynamoDB).
Hands-on experience with Infrastructure as Code tools (AWS CloudFormation, Terraform) and CI/CD pipelines (Jenkins, GitLab CI).
Work Experience Required: Not explicitly mentioned in the JD; Location: Bengaluru.
Experienced in managing end-to-end data pipelines incorporating security, compliance, scalability, and resilience within large enterprises.
Capable of advising and influencing stakeholders including business and technical teams, aligning solutions to organizational strategies and governance.
Able to work in Agile environments and collaborate effectively with cross-functional teams to deliver complex data engineering projects.