Job Title: Data Engineer (Java + Spark)

Experience:

• 4–5 Years

• 5–8 Years 

Location: All PSL Locations (PAN India)

Work Mode: Hybrid (if applicable)

Job Description:

We are seeking a skilled Data Engineer with strong expertise in Java and Apache Spark to join our dynamic engineering team. This role is ideal for professionals with solid backend programming skills and a deep understanding of data processing pipelines and distributed computing frameworks.

Key Responsibilities:

• Design, develop, and maintain scalable and reliable data pipelines using Java and Apache Spark.

• Work with large volumes of structured and semi-structured data from diverse sources.

• Collaborate with business and analytics teams to understand data requirements and deliver appropriate solutions.

• Optimize data processing and transformation jobs for performance and scalability.

• Ensure robust version control and continuous integration/deployment using Git and CI/CD tools.

• Participate in Agile/Scrum ceremonies and contribute to the team’s delivery commitments.

• Communicate effectively with internal teams and external stakeholders via email and calls.

Required Skills:

• Proficiency in Java with a deep understanding of core libraries and multithreading.

• Hands-on experience in Apache Spark, including knowledge of Spark Core, Spark SQL, RDDs, DataFrames, and Datasets.

• Basic Linux skills, including shell scripting and command-line operations.

• Experience using Git and Git Bash for version control and collaboration.

• Strong problem-solving skills and attention to detail.

• Excellent communication skills, including professional email writing and client interaction