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Tier-1 brand, Bangalore location, and common data-engineering skillset drive high competition.
Requires financial markets and alternative-data expertise plus Databricks/AWS Spark, limiting cross-industry transferability.
Explicit 10+ years, leadership requirement, and specific AWS/Databricks/Spark skills enforce strict filters.
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Lead and mentor a data engineering team responsible for building scalable data pipelines and curated financial datasets from onboarding through production delivery.
Design and implement data pipelines integrating diverse financial and alternative data sources, ensuring data completeness, accuracy, timeliness, and reliability.
Collaborate with Product Management and AI teams to develop and enhance financial data products and adopt AI-powered workflow tools to improve delivery efficiency.
10+ years programming experience (Python, Spark, SQL, Java, Unix shell scripting) with at least 2 years in team leadership.
Strong expertise in exploratory data analysis, data onboarding, and data pipeline development.
Proven experience with financial markets data analysis, including stock price and volume data.
Bachelor’s degree in Computer Science, Computer Engineering, or related discipline; experience with AWS (S3/EC2), Databricks, Linux, and Git/version control.
Experienced in leading high-performing engineering teams focused on financial data products and solution delivery.
Domain knowledge in financial data, particularly stock market data and alternative data sources such as satellite imagery or consumer transactions.
Comfortable working in a fast-paced, hybrid work environment with collaboration across product, engineering, and AI teams.