We are seeking a highly skilled Python / PySpark Developer with 4–8 years of experience in designing, developing, and supporting scalable data processing solutions. The ideal candidate should possess strong expertise in Python, PySpark, and data engineering concepts , with the ability to work in an Agile environment and deliver high-quality solutions for large-scale data migration, transformation, and analytics initiatives.
Key Responsibilities
- Design, develop, and maintain data processing applications using Python and PySpark .
- Build scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data.
- Develop and optimize Spark jobs for performance and reliability.
- Analyze business requirements and translate them into technical solutions.
- Work closely with Business Analysts, Solution Architects, and cross-functional teams.
- Perform code reviews and ensure adherence to coding standards and best practices.
- Troubleshoot production issues and provide timely resolutions.
- Participate in Agile ceremonies, sprint planning, and estimation activities.
- Create technical documentation, unit test cases, and deployment guides.
- Support data migration and modernization initiatives across enterprise platforms.
Required Skills
- 4–8 years of hands-on experience in software development and data engineering.
- Strong programming expertise in Python .
- Strong experience in PySpark and Apache Spark framework.
- Experience in developing and supporting ETL/data migration solutions.
- Solid understanding of SQL and relational databases.
- Experience working with large datasets and distributed computing environments.
- Knowledge of data modeling, data quality, and performance tuning techniques.
- Familiarity with Linux/Unix environments and shell scripting.
- Experience with version control tools such as Git.
- Strong analytical, debugging, and problem-solving skills.
Preferred Skills
- Experience with Hadoop ecosystem technologies.
- Exposure to cloud platforms such as Azure, AWS, or GCP.
- Experience with Azure Data Factory, Databricks, or similar data platforms.
- Knowledge of CI/CD pipelines and DevOps practices.
- BFSI domain experience will be an added advantage.
📌 Python / PySpark Developer (4–8 Years Exp)[Bengaluru/Chennai]
🏢 S4Ready AI
📍 Chennai
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