About Position:

We are seeking a highly skilled Spark Data Engineer with strong hands-on experience in building scalable data processing solutions using Apache Spark. The ideal candidate should have experience in Java/Scala development, data engineering best practices, and CI/CD implementation for data platforms.

- Role: Data Engineer
- Location: All Persistent Locations
- Experience: 7 to 13 Years
- Job Type: Full time Employment

What You'll Do:

- Design, develop, and optimize large-scale data processing pipelines using Apache Spark.
- Build and maintain batch and real-time data ingestion and transformation workflows.
- Develop scalable data solutions using Java and/or Scala.
- Analyze and improve Spark job performance, resource utilization, and execution efficiency.
- Collaborate with data architects, business analysts, and cross-functional teams to understand requirements and deliver data solutions.
- Implement coding standards, unit testing, and best practices for data engineering projects.
- Build and maintain CI/CD pipelines for automated deployment and testing of data applications.
- Troubleshoot production issues and provide timely resolution.
- Participate in code reviews and ensure high-quality, maintainable code.
- Support cloud-based and distributed data processing environments.

Expertise You'll Bring:

- Apache Spark (Core, Spark SQL, Data Frames, Performance Tuning)
- Java (Intermediate to Advanced)
- Scala (Basic to Intermediate)
- CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, etc.
- Git version control
- Experience with Hadoop ecosystem (HDFS, Hive, YARN).
- Experience working on data migration or modernization projects.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Understanding of data warehousing and ETL/ELT concepts.




- Strong problem-solving and analytical skills.
- Look for candidates who can demonstrate:
- Hands-on Spark development experience (not just listed as a skill).
- Performance tuning and optimization of Spark jobs.
- Real project experience using Java/Scala with Spark.
- Ownership of CI/CD implementation for data engineering workloads.
- End-to-end data pipeline development and deployment experience.

Benefits:

- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let’s unleash your full potential at Persistent - persistent.com/careers

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

📌 Spark Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune