Data-ETL Engineering Lead-Vice President
Citi (company site, opens in a new tab)10+ yrsPuneHybridDirect career pageEst. 35–65 LPA
Posted on 28 Sept
Reach people at Citi
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Citi you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead architecture, design, and delivery of enterprise-scale ETL/ELT pipelines and data warehousing solutions using Ab Initio, Python, and Oracle DB.
- Oversee end-to-end data delivery across SDLC, implement automated CI/CD pipelines, and ensure performance tuning for high-volume batch and real-time processing.
- Manage cross-functional stakeholder collaboration, enforce data governance, and mentor data engineering teams to uphold engineering standards.
Minimum Requirements
- 10+ years professional experience in data engineering or ETL development with at least 3 years in technical leadership roles.
- Expertise in Ab Initio, advanced Python data engineering (using libraries like Pandas, NumPy, PyArrow), and Oracle 19c+ with PL/SQL programming.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Software Engineering, Data Analytics, or equivalent quantitative field.
- Experience with CI/CD tools (Jenkins, Harness, Tekton, GitLab CI), version control (Git/Bitbucket), and Linux/Unix shell scripting.
Ideal Candidate Profile
- Proven ability to design and optimize large-scale data pipelines handling multi-terabyte datasets within SLA constraints.
- Experienced in translating complex business and regulatory requirements into technical data architectures and source-to-target mappings.
- Background in banking or financial services domains, with strong communication skills to liaise between technical teams and senior business stakeholders.