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Popular data engineer role in Bangalore with generalist requirements and metro location increases competition.
Core data engineering skills are transferable, though banking data governance and leadership increase domain specificity.
Requires cloud, ETL, governance skills and leadership expectations though no explicit years specified.
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Build and maintain data architectures including data pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Design and develop data processing and analysis algorithms suitable for complex data volumes to support machine learning collaboration.
Contribute to strategy, resource planning, and risk management while providing technical guidance and possibly leading data engineering teams to deliver high quality data products on AWS.
Experience in ETL, data processing, data warehousing, and data product management, preferably on AWS.
Proficient in Python programming and understanding of AWS cloud services.
Experience with CI/CD tools such as Jenkins or GitLab CI for automation and deployment.
Work Experience Required: Not explicitly mentioned in the JD; Location requirement: Bengaluru, India.
Strong background in cloud-based data engineering with emphasis on AWS services and automation pipelines.
Demonstrated ability to lead or guide high-performing technical teams delivering data products.
Skilled at stakeholder management and operating within Agile development environments.