PySpark Big Data Developer
CitiSummary
We are seeking a skilled PySpark Big Data Developer to join our Big Data Analytics team. The role involves designing, developing, and optimizing scalable data pipelines for large-scale data processing. Key responsibilities include ETL pipeline creation using PySpark, writing efficient Python code, collaborating with cross-functional teams, troubleshooting Spark applications, and participating in the full SDLC. Candidates should have 4-8 years of experience in enterprise applications and Big Data technologies.
Required Skills
Details
- Experience Required
- 4+ years
- Posted
- ~Jul 1, 2026
Description
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.
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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.------------------------------------------------------
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