Officer- Data Engineer (Big Data, PySpark)
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Moderate value for data professionals focused on big data platforms, offering a chance to contribute to banking innovation.
- Join an innovative team focused on big data solutions
- Enjoy a hybrid work model with competitive benefits
- Ideal for professionals with intermediate skills in data engineering
- Candidates should possess relevant technical expertise
Pros
- Opportunity to work with cutting-edge big data technologies
- Collaboration in an innovative banking environment
- Potential for career advancement in data engineering
Cons
- Requires specific technical skills in big data platforms
- May involve high-pressure deliverables and deadlines
- Immediate responsibilities may vary based on project demands
Who it's for
Mid-level • Hybrid / Office
Good fit
- Data engineers skilled in big data technologies
- Those seeking to influence banking with data solutions
- Professional candidates interested in a dynamic work environment
Not recommended for
- Candidates lacking experience in big data platforms
- Individuals hesitant to work with complex data challenges
- Entry-level professionals looking for less demanding roles
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 25909878 Officer, Data Engineer -C11- Hybrid based in Chennai, 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 in Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing.
Experience in Big Data, PySpark .
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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