Senior Scala Engineer

About the company

Persistent is a digital engineering and enterprise modernization partner that combines strong technical depth with industry knowledge to help clients stay ahead of change. The company works with leading organizations worldwide, including 14 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and several healthcare innovators. It has been recognized as a leader in delivery and customer excellence by ISG and was listed in the Forbes Asia Best Under a Billion 2021 ranking.

The organization has seen significant expansion, with 12-month revenue of $701.1 million and 29.8% year-over-year growth. In the last year, more than 4,500 employees joined, taking the global workforce to over 16,500 across 19 countries. Persistent promotes an inclusive, people-first culture focused on professional growth, collaboration, wellbeing, and global learning opportunities.

Role overview

In this role, you will join a highly skilled engineering team working on modern data platforms and applications. The position is centered on Scala-based data engineering, with hands-on work across Spark, PySpark, Databricks, Airflow, SQL, and related tools. The role is based in Pune, India, and is a full-time position with hybrid work support and flexible hours.

What you will do

• Build, test, debug, troubleshoot, and enhance applications using Spark, PySpark, Scala, Pandas, Databricks, Airflow, and SQL.
• Release application components through CI/CD pipelines.
• Create tools and utilities that help monitor systems and automate repetitive tasks.
• Work closely with agile cross-functional teams, including internal stakeholders, operations, infrastructure, and tech ops groups.
• Partner with the data science team to move machine learning models into production.
• Take part in a rotating support roster to handle customer questions and deliver bug fixes quickly and accurately.

Required experience and technical background

• You should have 8 to 12 years of relevant software engineering experience.
• Strong foundation in big data development using Spark, PySpark, Scala, Pandas, Databricks, Airflow, and SQL is expected.
• Experience with cloud platforms is required, with Microsoft Azure preferred.
• Hands-on exposure to Spark performance tuning and workload optimization is necessary.
• Experience with DevOps tools such as GitHub, Kubernetes, Jenkins, and Docker is preferred.
• Working knowledge of relational databases, especially PostgreSQL, is desirable.
• You need strong English communication skills and the ability to work effectively with both technical and business teams.

Benefits and workplace support

• Competitive compensation and benefits package.
• Quarterly growth opportunities along with company-sponsored higher education and certifications.
• Exposure to modern, cutting-edge technologies.
• Employee engagement activities such as project parties, flexible work hours, and long service awards.
• Annual health check-ups.
• Insurance coverage including group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.
• Hybrid work support, flexible hours, and an accessibility-friendly office environment with ergonomic setups and assistive technologies.
• Support for candidates and employees with disabilities, including room for specific accommodation needs during the hiring process or employment.

Inclusion and equal opportunity

Persistent welcomes applicants from all qualified backgrounds and maintains a workplace free from discrimination and harassment. The company encourages applications from people with disabilities, and does not discriminate based on gender or gender preference.