PySpark Developer (2 To 3 Years)

Job Title: PySpark Developer
Experience: 23 Years
Location: PAN India
Employment Type: Full-Time

Job Summary

We are seeking a skilled PySpark Developer with 23 years of experience in designing, developing, and optimizing large-scale data processing solutions. The ideal candidate should have hands-on experience with PySpark, Python, Spark SQL, ETL development, and Big Data technologies. The role involves building scalable data pipelines, transforming large datasets, and supporting analytics and reporting requirements.

Key Responsibilities

• Design, develop, and maintain scalable data processing applications using PySpark.
• Build and optimize ETL/ELT pipelines for structured and unstructured data.
• Develop data transformation logic using Spark SQL and DataFrames.
• Work with large-scale datasets in distributed computing environments.
• Collaborate with Data Engineers, Data Analysts, and Business stakeholders to understand data requirements.
• Monitor, troubleshoot, and optimize Spark jobs for performance and reliability.
• Ensure data quality, integrity, and consistency across data pipelines.
• Participate in code reviews and follow coding best practices.
• Support deployments, enhancements, and production issue resolution.
• Create technical documentation and maintain operational procedures.

Required Skillsa

• 23 years of experience in PySpark development.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Spark SQL, DataFrames, and RDDs.
• Experience in ETL development and data integration projects.
• Good understanding of data warehousing concepts.
• Experience working with relational databases such as SQL Server, Oracle, MySQL, or PostgreSQL.
• Strong SQL querying and performance tuning skills.
• Knowledge of Linux/Unix environments and shell scripting.
• Understanding of version control systems such as Git.
• Strong analytical and problem-solving skills.