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Tier-1 brand and metro Bangalore location increase applicant density despite senior specialization.
Data engineering management skills transfer across industries but require specific tooling and domain experience.
Explicit 14+ years and mandatory ETL/AWS/Python/domain tech requirements create strict shortlisting filters.
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Build and lead end-to-end data-centric solutions aligned with core business objectives in Business Banking Technology.
Drive engineering standards and improvements focusing on risk, compliance, vulnerabilities, and overall technical health of data solutions.
Lead or participate in defining and executing ETL strategy and technical architecture, including data staging and application interface integration.
14+ years experience in Analytics and Data Warehousing design, architecture, or development including 5 years in ETL pipeline building using Spark or Scala.
Proficiency with AWS services (EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue, EMR, DynamoDB, IAM, Secret Manager, Step Functions, SQS, SNS, Cloud Watch).
Strong skills in Python development, Oracle SQL/PL-SQL programming, and development of UNIX Shell Scripts.
Bachelor’s degree in Engineering in Computer Science or Information Technology.
Experienced in managing complex data engineering projects within Agile frameworks and Data Delivery Life Cycle.
Strong technical expertise across big data platforms, ETL frameworks, and cloud infrastructure, especially AWS and related data services.
Capable of collaborating with business and operational stakeholders to align technical solutions with business and compliance requirements.