Officer - Data Engineer (Big Data, Python, PySpark)
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Similar to the first role, this position in data engineering offers substantial professional growth prospects within a established financial institution.
- Experience with Hadoop, PySpark, and other big data technologies.
- Opportunity for hybrid work and career development.
- Innovative work within a leading financial institution.
Pros
- Use of modern technologies like Hadoop and PySpark.
- Flexible hybrid role with opportunities for professional development.
- Reputable firm focused on technological innovations.
Cons
- Potentially high competition in the data engineering field.
- Work under high-pressure situations to meet deadlines.
- Limited details regarding salary structure.
Who it's for
Mid-level • Hybrid
Good fit
- Experienced data engineers knowledgeable in Python.
- Professionals eager to apply big data technologies.
- Candidates interested in the transformative power of finance.
Not recommended for
- Entry-level candidates or individuals with no relevant experience.
- Those unable to work in high-pressure environments.
- Candidates seeking fully remote opportunities.
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 25909876 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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