PySpark With Scala (5-20 Years) @ Infosys

Job Description

We are seeking an experienced Big Data Developer with strong expertise in Apache Spark, Scala, and Python (PySpark).

The ideal candidate will design and develop data processing pipelines, ETL workflows, and distributed applications, ensuring scalability and performance in large-scale data environments.

Key Responsibilities:

• Develop and maintain data pipelines using Apache Spark, Scala, and PySpark.
• Apply functional programming principles for clean and efficient Scala code.
• Optimize Spark jobs for performance, cost efficiency, and scalability.
• Collaborate with data engineers, data scientists, and cloud teams to deliver robust solutions.
• Integrate Spark applications with data lakes, streaming platforms (Kafka), and cloud services.
• Implement unit tests, perform code reviews, and follow best practices in software development.

Required Skills:

• Strong proficiency in Scala and Python (PySpark).
• Hands-on experience with Apache Spark (Core, SQL, Streaming).
• Knowledge of functional programming concepts in Scala.
• Familiarity with data lake architectures, HDFS, and Hive.
• Proficiency in SQL and data modeling.
• Experience with CI/CD pipelines, Git, and cloud platforms (AWS, Azure, GCP).

Preferred Skills:

• Experience with Databricks and Delta Lake.
• Knowledge of Akka, Play Framework, or reactive programming.
• Exposure to containerization (Docker, Kubernetes).

Location: Bangalore, Hyderabad, Trivandrum, Pune, Bhubaneshwar

Experience: 5-20 Years

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Keyskills:   Pyspark SCALA Spark Python Big Data