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Sr Data Engineer - Pune

Photon · IT Consulting & Digital Transformation · Bachelor's Degree · Java · Scala · 1 year ago
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Salary
≈ $12k – $25k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 10+ years exp

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Jun 2, 2025. Photon scores D on the Alion truth index.

Overview
Company
Impact
Profile match

Photon

Photon is a digital transformation and IT services company with its registered office in Chennai, India, and US offices including Dallas, building mobile apps, ecommerce platforms, cloud services, APIs and AI solutions for large enterprises. Started in 1999, it has grown to more than 4,000 people and works with many Fortune 100 and Fortune 500 companies in retail, banking, technology and consumer sectors, running delivery centers in Chennai, Bengaluru and Pune. It hires Java and backend developers, Android and full stack engineers, SAP Commerce developers, QA and automation testers, business analysts, scrum masters and product managers in India and the US.
photon.com · HQ: Chennai, India · IT Consulting & Digital Transformation · 5000+ employees · Est. 1999
Tech stack of Photon

We need a Senior Data Engineer with 10+ years exp proficient in Spark, Scala/Java, and Hive, with extensive hands-on development experience in the Big Data Ecosystem.

Key Responsibilities:

  • Design, implement, and optimize highly performant data pipelines using Spark, Scala/Java, and Hive on platforms like Cloudera Data Platform (CDP) or other Hadoop echo systems.
  • Take complete ownership of complex data engineering projects within the big data ecosystem, covering the entire lifecycle from initial design and development to deployment and ongoing maintenance.
  • Develop robust and efficient Hive queries for extensive data analysis and reporting.
  • Champion and enforce best practices and coding standards for new and existing data flows to ensure they are robust, scalable, secure, and maintainable using Spark, Scala/Java, and Hive within the big data ecosystem.
  • Diagnose, troubleshoot, and resolve complex issues related to Spark, Scala/Java, and Hive applications and YARN resource management, implementing performance optimization solutions.
  • Proactively collaborate with stakeholders, working closely to develop solutions with full commitment and accountability.

Technical Skills & Experience:

  • Proven hands-on development expertise with Apache Spark
  • Strong programming proficiency in Scala and/or Java
  • In-depth knowledge and practical experience with Hive, including query optimization and data analysis.
  • Experience with data platforms such as Cloudera Data Platform (CDP) is highly desirable.

Education:

  • Bachelor’s / Master's degree/University degree or equivalent experience
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