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Big Data pyspark developer

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Time Type: Full time------------------------------------------------------ Most Relevant Skills
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Identify and define needed system enhancements for applications

  • Identify and analyze issues, then implement solutions

  • Conduct testing and debugging, and write basic code for design specs

  • Analyze information and recommend solutions and improvements

From the employer’s posting
identify and define necessary system enhancements
Identify and analyze issues, make recommendations, and implement solutions
Conduct testing and debugging, utilize script tools, and write basic code for design specifications
Analyze information and make evaluative judgements to recommend solutions and improvements

What you’ll bring

All qualifications

Core experience

  • 3-5 years in technical data analysis or similar, ideally financial services
  • Hands-on expertise with Hadoop, Spark (PySpark/Scala), and Kafka
  • Cloud data platform experience, such as AWS S3 or Databricks
  • Experience with data modeling tools and techniques
  • Bachelor's degree or equivalent experience

Preferred experience

  • Experience with scripting languages for data analysis (e.g., Python, R) is highly desirable.
  • Experience with data preparation for AI/ML models and understanding of core AI/ML concepts and workflows is highly desirable.
Qualification wording
3-5 years of experience as a Technical Data Analyst or similar role within the Financial Services industry
Demonstrated expertise with Big Data technologies including Hadoop, Spark (PySpark/Scala Spark), Kafka
cloud-based data platforms (e.g., AWS S3, Databricks)
Demonstrated experience with data modeling tools and techniques.
Bachelor’s degree/University degree or equivalent experience
Experience with scripting languages for data analysis (e.g., Python, R) is highly desirable.
Experience with data preparation for AI/ML models and understanding of core AI/ML concepts and workflows is highly desirable.
Education & alternatives
Education: - Bachelor’s degree/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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Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 6, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 54.

At Citi, jobs usually come down by about day 16.

From 11,511 similar postings that came down, and 1,282 of Citi’s. Coming down is not always a hire.

Citi is hiring

162 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
  • 5% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • Scala
  • AWS
  • Databricks
  • Hadoop
  • Kafka
  • S3
  • Spark
  • PySpark
Where the posting names them
- Demonstrated experience with data modeling tools and techniques. - Experience with scripting languages for data analysis (e.g., Python, R) is highly desirable. - Experience with data preparation for AI/ML models and understanding of core AI/ML concepts and workflows is highly desirable.
- 3-5 years of experience as a Technical Data Analyst or similar role within the Financial Services industry, preferably in regulatory reporting (e.g., Basel, CCAR, FR 2052a) and liquidity risk. - Demonstrated expertise with Big Data technologies including Hadoop, Spark (PySpark/Scala Spark), Kafka, and cloud-based data platforms (e.g., AWS S3, Databricks). - Demonstrated experience with data modeling tools and techniques.

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About Citi

People
About 226,000 in 2025.Annual report (SEC Form 10-K)
Company
Listed as C.
H-1B visas
1 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

The Applications Development Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities:

  • Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements
  • Identify and analyze issues, make recommendations, and implement solutions
  • Utilize knowledge of business processes, system processes, and industry standards to solve complex issues
  • Analyze information and make evaluative judgements to recommend solutions and improvements
  • Conduct testing and debugging, utilize script tools, and write basic code for design specifications
  • Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures
  • Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications
  • 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:

  • 3-5 years of experience as a Technical Data Analyst or similar role within the Financial Services industry, preferably in regulatory reporting (e.g., Basel, CCAR, FR 2052a) and liquidity risk.
  • Demonstrated expertise with Big Data technologies including Hadoop, Spark (PySpark/Scala Spark), Kafka, and cloud-based data platforms (e.g., AWS S3, Databricks).
  • Demonstrated experience with data modeling tools and techniques.
  • Experience with scripting languages for data analysis (e.g., Python, R) is highly desirable.
  • Experience with data preparation for AI/ML models and understanding of core AI/ML concepts and workflows is highly desirable.
  • Comprehensive knowledge of data analysis principles, methodologies, and data governance frameworks.
  • Experience across all phases of the Software Development Life Cycle (SDLC), with a focus on data-centric projects.
  • Consistently demonstrates clear and concise written and verbal communication.
  • 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


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:

Technology

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Job Family:

Applications Development

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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.

Source details

View original posting ↗

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Location & working pattern

Pune, MH, IN

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