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Tier-1 bank, Bangalore metro, generalist data engineer role with broad skills attracts strong applicant density.
Core data engineering skills are transferable, but banking domain and regulatory knowledge increase domain specificity.
Explicit 10+ years requirement plus mandatory Python, PySpark, SQL, Airflow and devops skills makes filters stringent.
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Design and develop enterprise-scale applications, owning the entire application lifecycle including build, release, and maintenance.
Lead technical strategy and architecture for distributed software solutions, improving efficiency and incorporating modern tools.
Provide technical leadership including mentoring, resource management, and governance to ensure high-quality, risk-managed deliverables.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical field.
10+ years of experience in data engineering with hands-on expertise in Python, SQL, PySpark, and shell scripting.
Experience building large-scale ETL/ELT pipelines and working knowledge of DevOps/CI/CD tools (e.g., Docker, Kubernetes, Terraform).
Work Location: Bangalore, India; Employment Type: Permanent; Work Type: Office Working.
Experienced in financial services or similarly regulated environments demanding high governance and risk management standards.
Strong in designing and optimizing complex SQL queries and building scalable data pipelines using modern data stack components like Airflow and Big Data Ecosystem tools.
Proven ability to lead engineering teams technically and through management processes including hiring, mentoring, and upskilling towards advanced engineering roles.