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Pyspark/Python ETL Developer

at Citi

Back to all Data Engineering jobs
Citi logo
Industry not specified

Pyspark/Python ETL Developer

at Citi

Mid LevelNo visa sponsorshipData Engineering

Posted 13 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Chennai
Country
India

Design, develop, and implement efficient and scalable data pipelines and ETL processes using PySpark and Python. Develop and optimize complex SQL queries and stored procedures in Oracle, ensuring data accuracy and performance. Collaborate with data architects and stakeholders to translate data requirements into technical solutions, perform data profiling and quality checks, and document data flows and designs. The role also involves staying current with big data practices and participating in code reviews and deployment.

Pyspark/Python ETL Developer

Job Req Id:
25925289
Location(s):
Chennai, Tamil Nadu, India
Job Type:
Hybrid
Posted:
Feb. 27, 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, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Title: Pyspark/Python ETL Developer with strong SQL Knowledge

Primary Responsibilities:-
Design, develop, and implement efficient and scalable data pipelines and ETL processes using Pyspark and Python.
Develop, optimize, and maintain complex SQL queries and stored procedures within Oracle database environments.
Collaborate with data architects, data scientists, and other stakeholders to understand data requirements and translate them into technical solutions.
Perform data analysis, profiling, and quality checks to ensure data accuracy and integrity.
Optimize Pyspark and Python code for performance and efficiency on large datasets.
Troubleshoot and resolve data-related issues, ensuring data availability and reliability.
Participate in code reviews, testing, and deployment processes.
Stay up-to-date with emerging technologies and best practices in data engineering and big data.
Document technical designs, data flows, and code.

Qualifications:-
Required Skills
----------------
Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
Experience: 3+ years of experience in data engineering or software development with a focus on Pyspark/Python.
Pyspark/Python: Proven expertise in developing data processing applications using Pyspark and Python.
Oracle SQL: Strong proficiency in writing complex SQL queries, stored procedures, and understanding database schema in Oracle.
Big Data: Experience with Apache Spark and its ecosystem for big data processing.
ETL: Solid understanding and experience with ETL methodologies and tools.
Automation Tools: Experience with job scheduling and automation tools, such as Autosys.
Shell Scripting: Proficiency in Unix/Linux shell scripting for automation and system tasks.
Version Control: Experience with Git or similar version control systems.
Problem-Solving: Excellent analytical and problem-solving skills with attention to detail.

Preferred Skills
----------------
Experience with other database systems (e.g., PostgreSQL, SQL Server).
Knowledge of cloud platforms (AWS, Azure, GCP) and their data services (e.g., AWS S3, EMR, Glue).
Familiarity with data orchestration tools (e.g., Apache Airflow).
Experience with data visualization tools (e.g., Tableau, Power BI).
Understanding of data warehousing concepts (e.g., Kimball, Inmon).

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

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.

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

Pyspark/Python ETL Developer

at Citi

Back to all Data Engineering jobs
Citi logo
Industry not specified

Pyspark/Python ETL Developer

at Citi

Mid LevelNo visa sponsorshipData Engineering

Posted 13 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Chennai
Country
India

Design, develop, and implement efficient and scalable data pipelines and ETL processes using PySpark and Python. Develop and optimize complex SQL queries and stored procedures in Oracle, ensuring data accuracy and performance. Collaborate with data architects and stakeholders to translate data requirements into technical solutions, perform data profiling and quality checks, and document data flows and designs. The role also involves staying current with big data practices and participating in code reviews and deployment.

Pyspark/Python ETL Developer

Job Req Id:
25925289
Location(s):
Chennai, Tamil Nadu, India
Job Type:
Hybrid
Posted:
Feb. 27, 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, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Title: Pyspark/Python ETL Developer with strong SQL Knowledge

Primary Responsibilities:-
Design, develop, and implement efficient and scalable data pipelines and ETL processes using Pyspark and Python.
Develop, optimize, and maintain complex SQL queries and stored procedures within Oracle database environments.
Collaborate with data architects, data scientists, and other stakeholders to understand data requirements and translate them into technical solutions.
Perform data analysis, profiling, and quality checks to ensure data accuracy and integrity.
Optimize Pyspark and Python code for performance and efficiency on large datasets.
Troubleshoot and resolve data-related issues, ensuring data availability and reliability.
Participate in code reviews, testing, and deployment processes.
Stay up-to-date with emerging technologies and best practices in data engineering and big data.
Document technical designs, data flows, and code.

Qualifications:-
Required Skills
----------------
Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
Experience: 3+ years of experience in data engineering or software development with a focus on Pyspark/Python.
Pyspark/Python: Proven expertise in developing data processing applications using Pyspark and Python.
Oracle SQL: Strong proficiency in writing complex SQL queries, stored procedures, and understanding database schema in Oracle.
Big Data: Experience with Apache Spark and its ecosystem for big data processing.
ETL: Solid understanding and experience with ETL methodologies and tools.
Automation Tools: Experience with job scheduling and automation tools, such as Autosys.
Shell Scripting: Proficiency in Unix/Linux shell scripting for automation and system tasks.
Version Control: Experience with Git or similar version control systems.
Problem-Solving: Excellent analytical and problem-solving skills with attention to detail.

Preferred Skills
----------------
Experience with other database systems (e.g., PostgreSQL, SQL Server).
Knowledge of cloud platforms (AWS, Azure, GCP) and their data services (e.g., AWS S3, EMR, Glue).
Familiarity with data orchestration tools (e.g., Apache Airflow).
Experience with data visualization tools (e.g., Tableau, Power BI).
Understanding of data warehousing concepts (e.g., Kimball, Inmon).

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

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.

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

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