PySpark Developer

Job Description:

• We are looking for a skilled PySpark Developer with up to 3 years of experience in building and maintaining large scale data processing pipelines
• The ideal candidate should have hands on experience in PySpark Python SQL and Big Data technologies and be capable of developing efficient ETL workflows for enterprise data platforms

Key Responsibilities:

• Design develop and maintain data pipelines using PySpark
• Develop ETL ELT processes for ingesting transforming and loading large volumes of data
• Write optimized PySpark code for data processing and transformation
• Work with structured and semi structured data from multiple sources
• Develop and optimize SQL queries for data extraction and validation
• Troubleshoot data quality and performance issues
• Collaborate with Data Engineers Analysts and Business teams to understand requirements
• Participate in code reviews and follow data engineering best practices
• Monitor and support production data pipelines

Technical Requirements:

• Strong experience in PySpark
• Good programming knowledge of Python
• Hands on experience with SQL
• Understanding of ETL ELT concepts and data warehousing
• Experience working with large datasets and distributed processing
• Knowledge of Spark SQL DataFrames and Spark transformations
• Familiarity with Linux Unix environment

Additional Responsibilities:

• Exposure to cloud platforms such as AWS Azure or GCP
• Knowledge of Databricks
• Experience with workflow orchestration tools such as Airflow
• Understanding of CI CD concepts

Preferred Skills:

Technology->Big Data - Data Processing->PySpark