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Job Description
Structured overview of role & requirementsAbout This Role
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.
Minimum Requirements
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.
Ideal Candidate Profile
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.