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Tier-1 brand plus mid-level data-engineer role and Hyderabad metro increase candidate competition.
Core data-engineering skills are transferable, but financial market data experience increases fit preference.
Explicit 5–8 years, mandatory Python/PySpark/SQL and AWS skills, plus people-management requirement.
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Lead technical direction and collaborate with product teams to build and deploy new features and products focused on financial data aggregation and analytics.
Take ownership of projects including design, development, deployment, bug fixes, and enhancements to improve client experience and operational efficiency.
Provide technical leadership, perform code reviews, and guide the team through cloud infrastructure scaling initiatives for improved timeliness and cost efficiency.
Bachelor’s or Master’s degree in computer science.
5-8 years of overall experience in Software Engineering/Data Engineering with 3+ years in people management.
Hands-on experience with Python and advanced SQL (including window functions, CTEs, joins, query optimization).
Experience with ETL pipeline design, data warehouse architecture, PySpark, and familiarity with AWS services such as Redshift, EMR Serverless, S3, and IAM.
Experienced technical leader capable of managing and scaling cloud-based data infrastructure projects within a fast-paced, agile environment.
Strong expertise in data engineering with deep knowledge of SQL and Python for financial data aggregation and analytics.
Operational mindset with demonstrated success in reducing technical debt and improving process efficiency while collaborating across internal teams.