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Data Engineer

ExperiencedNo visa sponsorship
Citi logo

at Citi

Bulge Bracket Investment Banks

Posted 24 days ago

No clicks

**Data Engineer | Pune, India** Manages large datasets, translates use cases to functional applications. Must have 4+ years in Python/Spark, experience with Big Data techs (HDFS, Spark, Hive), and strong SQL skills. Designs, builds, and maintains efficient applications, ensuring optimal performance and responsiveness. Collaborates with global teams, drives testing, and data analysis. Prior experience in Agile methodologies, Git, and cloud technologies preferred.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Full Job Description

Data Engineer

Apply (opens in new window)
Save

Job Req Id:

26995668

Location(s):

Pune, Maharashtra, India

Job Type:

On-Site/Resident

Posted:

Oct. 19, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The Applications Development Intermediate 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.


Strong experience with one or more programming languages (Python/Spark) with 4+ years of experience.
Demonstrated analytical and problem-solving skills. Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. 
Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques. 
Experience in Big data technologies like HDFS, Map Reduce, YARN, Apache Spark, Hive. 
Familiarity with data formats like Avro, Parquet, CSV, JSON. 
Strong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities. 
Understanding fundamental design principles behind a scalable application. 
Experience in working with UNIX/LINUX and shell scripting. 
Good knowledge of database principles, practices with SQL. 
Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. Good to Have: 
Agile/Scrum methodology experience is required. 
Experience in SCMs like GIT and tools like JIRA. 
Experience in No SQL databases. 
Familiarity with build tools such as Maven and continuous integration like Jenkins/Team City. 
Familiarity with cloud and container technologies. 
Experience real time data processing - Kafka. 
Responsibilities: 
Translate application storyboards and use cases into functional applications. 
Design, build, and maintain efficient, reusable, and reliable Python/Scala code. 
Ensure the best possible performance, quality, and responsiveness of the applications. 
Identify bottlenecks and bugs, and devise solutions to these problems. 
Develop high performance & low latency components to run Spark clusters. 
Interpreting functional requirements into design approaches those can be served through Big Data platform. 
Collaborate and partner with Global Teams based across different locations. 
Be able to propose best practices and standards. 
Perform the testing of software prototypes and transfer to the operational team. 
Processing of data using Hive, Impala & HBASE. 
Performing analysis of large data sets and derive insights.


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


------------------------------------------------------

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.

------------------------------------------------------

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 (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save

Data Engineer

Compensation

Not specified

City: Not specified

Country: India

Citi logo
Bulge Bracket Investment Banks

24 days ago

No clicks

at Citi

ExperiencedNo visa sponsorship

**Data Engineer | Pune, India** Manages large datasets, translates use cases to functional applications. Must have 4+ years in Python/Spark, experience with Big Data techs (HDFS, Spark, Hive), and strong SQL skills. Designs, builds, and maintains efficient applications, ensuring optimal performance and responsiveness. Collaborates with global teams, drives testing, and data analysis. Prior experience in Agile methodologies, Git, and cloud technologies preferred.

Full Job Description

Data Engineer

Apply (opens in new window)
Save

Job Req Id:

26995668

Location(s):

Pune, Maharashtra, India

Job Type:

On-Site/Resident

Posted:

Oct. 19, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The Applications Development Intermediate 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.


Strong experience with one or more programming languages (Python/Spark) with 4+ years of experience.
Demonstrated analytical and problem-solving skills. Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. 
Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques. 
Experience in Big data technologies like HDFS, Map Reduce, YARN, Apache Spark, Hive. 
Familiarity with data formats like Avro, Parquet, CSV, JSON. 
Strong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities. 
Understanding fundamental design principles behind a scalable application. 
Experience in working with UNIX/LINUX and shell scripting. 
Good knowledge of database principles, practices with SQL. 
Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. Good to Have: 
Agile/Scrum methodology experience is required. 
Experience in SCMs like GIT and tools like JIRA. 
Experience in No SQL databases. 
Familiarity with build tools such as Maven and continuous integration like Jenkins/Team City. 
Familiarity with cloud and container technologies. 
Experience real time data processing - Kafka. 
Responsibilities: 
Translate application storyboards and use cases into functional applications. 
Design, build, and maintain efficient, reusable, and reliable Python/Scala code. 
Ensure the best possible performance, quality, and responsiveness of the applications. 
Identify bottlenecks and bugs, and devise solutions to these problems. 
Develop high performance & low latency components to run Spark clusters. 
Interpreting functional requirements into design approaches those can be served through Big Data platform. 
Collaborate and partner with Global Teams based across different locations. 
Be able to propose best practices and standards. 
Perform the testing of software prototypes and transfer to the operational team. 
Processing of data using Hive, Impala & HBASE. 
Performing analysis of large data sets and derive insights.


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


------------------------------------------------------

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.

------------------------------------------------------

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 (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save