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Data Engineering Lead, Big Data and AbInitio- Vice President
Citi
Pune, IND
Full-time
Senior · 12+ years experience
Hybrid
Discovered 1 weeks ago
AbinitioPySparkOracleAutosysControl CentreHadoop
Free
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AbinitioPySparkOracle
Key Skills for This Role
AbinitioPySparkOracleAutosysControl CentreHadoop
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Key Responsibilities
- Strategic Leadership & Vision: Define and execute the long-term vision and strategy for the data engineering organization, ensuring alignment with the company's overall business objectives. Drive the roadmap for our data platforms and infrastructure.
- Executive Management & Team Development: Lead, mentor, and scale a world-class data engineering organization. Oversee departmental budgeting, resource planning, hiring, and professional development to build a culture of excellence and innovation.
- Architectural Oversight & Governance: Provide executive oversight for the design and implementation of robust, scalable data pipelines and ETL/ELT processes. Establish and enforce enterprise-wide data governance, quality, and security standards.
- Technology Innovation & Modernization: Drive the evaluation, adoption, and integration of cutting-edge technologies, including Big Data, PySpark, AI/ML, and cloud-native solutions, to modernize our data stack. Foster a culture of continuous improvement and forward-thinking.
- Technical Stewardship: Leverage deep expertise in foundational data technologies (including Abinitio, PySpark, Oracle, and ETL frameworks) to guide architectural decisions and solve complex technical challenges.
- Operational Excellence: Ensure the reliability, performance, and efficiency of all data engineering systems. Oversee the management of critical data workflows and scheduling systems (e.g., Autosys, Control Centre).
- Senior Stakeholder Collaboration: Act as a key partner to the executive team and other business leaders (Analytics, Product, Technology). Translate business needs into a clear technical strategy and communicate the value and impact of data engineering initiatives.
- Agile & Execution-Focused Leadership: Champion Agile practices at a strategic level to ensure the timely and effective delivery of high-impact data projects and products.
Required Qualifications & Experience
- Bachelor's/University degree or equivalent experience.
- 12+ years of experience in the data engineering and technology space, with a clear progression of responsibility.
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