Officer - Data Engineer (Big Data, Python, PySpark)
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Strong technical focus in a growing area with opportunities for collaboration and skill enhancement.
- Strong salary growth potential in data engineering
- Exposure to innovative big data projects
- Career development in a financial tech context
Pros
- Involvement in cutting-edge big data technologies like Hadoop and PySpark
- Opportunities for professional development and mentorship
- Working environment in a global financial institution
Cons
- High expertise required may limit broad candidate pool
- Intense project deadlines could impact work-life balance
- Dynamic tech environment might present continuous pressure
Who it's for
Mid to senior-level • Hybrid/remote options possible
Good fit
- Data engineers with experience in big data frameworks
- Candidates keen on collaborative tech environments
- Professionals wanting to grow in the finance tech industry
Not recommended for
- New graduates without hands-on experience
- Candidates seeking roles outside of tech development
- Individuals who prefer less dynamic working conditions
Motivation fit
Key skills
About the job
At Citi we’re not just building technology, we’re building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world’s most global banks we’re changing how the world does business.
Shape your Career with Citi
We’re currently looking for a high caliber professional to join our team as 25909877 Officer, Data Engineer -C11- Hybrid based in Pune, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future.
The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.
Responsibilities & Qualifications
5-8 years of relevant experience Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing.
Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures
Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, PySpark
Data Warehousing & Database Management: Understanding of Data Warehousing concepts,
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Education:
Bachelor’s degree/University degree or equivalent experience
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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