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PySpark Big Data Developer

ExperiencedNo visa sponsorship
Citi logo

at Citi

Bulge Bracket Investment Banks

Posted 4 days ago

No clicks

**PySpark Big Data Developer** Designs and optimizes large-scale data pipelines using PySpark. Responsibilities include ETL development, code optimization, team collaboration, and full SDLC participation. Requires 4-8 years of experience in enterprise application development, strong OOP foundation, and proficiency in PySpark, Hadoop, Hive, SQL, and scripting. Familiarity with BI tools and DevOps practices is beneficial.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Full Job Description

PySpark Big Data Developer

Apply (opens in new window)
Save

Job Req Id:

26971489

Location(s):

Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

Jul. 01, 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 more than 230,000 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

We are seeking a highly skilled and experienced BigData/PySpark Engineer to join our dynamic Big Data Analytics team. This role is pivotal in designing, developing, and optimizing robust, scalable data pipelines for large-scale data processing and analytics.

Key Responsibilities:

  • Design & Development: Create and optimize scalable ETL (Extraction, Transformation, Loading) pipelines using PySpark for massive datasets.
  • Coding & Engineering: Write clean, efficient, well-documented code primarily in Python (PySpark) often leveraging frameworks/tools.
  • Collaboration: Work with cross-functional teams (senior developers, data engineers, analysts, business partners) to understand data requirements and ensure seamless solution integration.
  • Troubleshooting & Optimization: Debug and resolve data processing issues and performance bottlenecks in Spark applications and other big data technologies.
  • Full SDLC Involvement: Participate in the entire software development lifecycle, from requirements analysis and design to testing, deployment, and operations.
  • Data Integrity: Ensure high data quality and integrity throughout the data lifecycle.

This candidate possesses 4-8 years of experience in developing and managing Enterprise Applications, demonstrating a robust foundation in Big Data technologies and a strong grasp of software development principles.

Key Experience & Expertise:

  • Enterprise Application Development: 4-8 years in developing and managing enterprise-grade applications.
  • Object-Oriented Programming (OOP): Solid foundation in OOP concepts.
  • Big Data Development: Expertise in PySpark, HDFS, Hive, Sqoop, and Hadoop for Big Data environments.
  • Database Technologies: Good exposure to SQL Server and ORACLE databases. Experience with query writing for data validation/manipulation
  • Scripting & Automation: Proficient in Shell Scripting and experience with job scheduling tools like Autosys.
  • BI Reporting Tools: Some exposure to BI tools, specifically Tableau.
  • Tools & Practices: Proficient with Git; experience with JIRA, Confluence. Familiarity with DevOps and CI/CD pipelines.

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

    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

    PySpark Big Data Developer

    Compensation

    Not specified

    City: Not specified

    Country: India

    Citi logo
    Bulge Bracket Investment Banks

    4 days ago

    No clicks

    at Citi

    ExperiencedNo visa sponsorship

    **PySpark Big Data Developer** Designs and optimizes large-scale data pipelines using PySpark. Responsibilities include ETL development, code optimization, team collaboration, and full SDLC participation. Requires 4-8 years of experience in enterprise application development, strong OOP foundation, and proficiency in PySpark, Hadoop, Hive, SQL, and scripting. Familiarity with BI tools and DevOps practices is beneficial.

    Full Job Description

    PySpark Big Data Developer

    Apply (opens in new window)
    Save

    Job Req Id:

    26971489

    Location(s):

    Pune, Maharashtra, India

    Job Type:

    Hybrid

    Posted:

    Jul. 01, 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 more than 230,000 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

    We are seeking a highly skilled and experienced BigData/PySpark Engineer to join our dynamic Big Data Analytics team. This role is pivotal in designing, developing, and optimizing robust, scalable data pipelines for large-scale data processing and analytics.

    Key Responsibilities:

    • Design & Development: Create and optimize scalable ETL (Extraction, Transformation, Loading) pipelines using PySpark for massive datasets.
    • Coding & Engineering: Write clean, efficient, well-documented code primarily in Python (PySpark) often leveraging frameworks/tools.
    • Collaboration: Work with cross-functional teams (senior developers, data engineers, analysts, business partners) to understand data requirements and ensure seamless solution integration.
    • Troubleshooting & Optimization: Debug and resolve data processing issues and performance bottlenecks in Spark applications and other big data technologies.
    • Full SDLC Involvement: Participate in the entire software development lifecycle, from requirements analysis and design to testing, deployment, and operations.
    • Data Integrity: Ensure high data quality and integrity throughout the data lifecycle.

    This candidate possesses 4-8 years of experience in developing and managing Enterprise Applications, demonstrating a robust foundation in Big Data technologies and a strong grasp of software development principles.

    Key Experience & Expertise:

    • Enterprise Application Development: 4-8 years in developing and managing enterprise-grade applications.
    • Object-Oriented Programming (OOP): Solid foundation in OOP concepts.
    • Big Data Development: Expertise in PySpark, HDFS, Hive, Sqoop, and Hadoop for Big Data environments.
    • Database Technologies: Good exposure to SQL Server and ORACLE databases. Experience with query writing for data validation/manipulation
    • Scripting & Automation: Proficient in Shell Scripting and experience with job scheduling tools like Autosys.
    • BI Reporting Tools: Some exposure to BI tools, specifically Tableau.
    • Tools & Practices: Proficient with Git; experience with JIRA, Confluence. Familiarity with DevOps and CI/CD pipelines.

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

      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