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Data Engineer

Citigroup

On-site
Pune, Maharashtra
Full-time
Entry
Salary not listedPosted 3w ago

Real job — pulled straight from Citigroup’s careers page · Verified July 24, 2026 · No reposts.

Job description

Citigroup is hiring a Data Engineer — a full-time, based in Pune, Maharashtra role. Apply directly on Citigroup's careers page below.

Data Engineer - Python - Pyspark

Location: Pune, Maharashtra, India, Haryana, India

Employment Type: Regular

The Data/Information Mgt Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.

Responsibilities:

  • This function covers incumbents responsible for various data activities, which include database administration, data analysis, maintenance, data quality, and database management or database architecture / design engineering
  • Responsible for routine operational or administrative work
  • Day-to-day actions are focused on administering defined procedures, analyses and report preparation
  • Individuals will have their work thoroughly reviewed and checked by more senior incumbents and will have limited contact outside their immediate area
  • Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.


Qualifications:

  • Previous related experience preferred
  • High attention to detail
  • Customer service skills


Education:

  • Bachelors/University degree or equivalent experience


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Data/Information Management

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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Frequently asked questions

What skills are required for Data Engineer at Citigroup?

The required skills for Data Engineer at Citigroup include: Python, Spark, SQL.

What is the seniority level for Data Engineer at Citigroup?

Data Engineer at Citigroup is a Entry level position.

How do I apply for Data Engineer at Citigroup?

You can view the full description and apply for Data Engineer at Citigroup on EchoJobs: https://echojobs.io/job/citigroup-data-engineer-python-pyspark-d0mtw.