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.
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
Robust experience in PySpark.
Valuable 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 setting.
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.
Educational Requirements
Bachelor Of Comp. Applications
Bachelor Of Computer Science
Bachelor Of Science
Bachelor Of Engineering
Bachelor Of Technology
Preferred Skills
Technology->Big Data - Data Processing->PySpark
Service Line
Data Analytics Unit
📌 Pyspark Developer Bengaluru (India)
🏢 Infosys
📍 India
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