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Salary
≈ $13k – $25k per year (Estimated)
Location
In office (Chennai)
Seniority
Senior · 8+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jan 22, 2026. Photon scores D on the Alion truth index.

Overview
Company
Impact
Profile match
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.
  • Develop, test, and deploy data processing applications using Apache Spark and Scala.
  • Optimize and tune Spark applications for better performance on large-scale data sets.
  • Work with the Cloudera Hadoop ecosystem (e.g., HDFS, Hive, Impala, HBase, Kafka) to build data pipelines and storage solutions.
  • Collaborate with data scientists, business analysts, and other developers to understand data requirements and deliver solutions.
  • Design and implement high-performance data processing and analytics solutions.
  • Ensure data integrity, accuracy, and security across all processing tasks.
  • Troubleshoot and resolve performance issues in Spark, Cloudera, and related technologies.
  • Implement version control and CI/CD pipelines for Spark applications.

Required Skills & Experience:

  • Minimum 8 years of experience in application development.
  • Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing.
  • Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.
  • Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi.
  • Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data.
  • Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL.
  • Knowledge of data warehousing concepts, dimensional modeling, and data lakes.
  • Ability to troubleshoot and optimize Spark and Cloudera platform performance.
  • Familiarity with version control tools like Git and CI/CD tools (e.g., Jenkins, GitLab).

    Compensation, Benefits and Duration

    Minimum Compensation: USD

    Maximum Compensation: USD

    Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.

    Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.

    This position is not available for independent contractors

    No applications will be considered if received more than 120 days after the date of this post

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