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Salary
≈ $12k – $31k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp

First seen by Alion on Aug 25, 2026.

Overview
Company
Impact
Profile match
Headquartered in the US, Epsilon provides customers tools for digital messaging: Email, mobile & social, Email and cross channel services, Marketing automation and Marketing operations. Recently opened offices in India.
Backed by GV, Hoxton Ventures, USVP

The Data Engineering team at Epsilon plays a pivotal role in building the next-generation data platforms that empower Epsilon's ecosystem. We design, develop, and optimise scalable, high-performance data solutions that process terabytes of data every day, driving intelligent insights for clients across industries. This team of problem-solvers and innovators leverages modern big data, cloud, and automation technologies to deliver reliable and efficient data products. The candidate will be a member of the Data Engineering Team and be responsible for developing, Unit Testing, and implementing applications for the Data Engineering group, predominantly in the Hadoop Ecosystem and Databricks.

Responsibilities:

  • Provide outstanding customer service, following detailed specifications, in the processing of incoming and outgoing client data
  • Design and develop custom data solutions in Databricks.
  • Develop efficient, reusable, and reliable code for data processing and transformation.
  • Work with Technical Leads, Architects and data platform teams to understand and implement robust data solutions.
  • Contribute to data modelling, quality, and governance initiatives to ensure trusted data delivery.
  • Perform detailed analysis, troubleshooting, and RCA for production issues and optimise system reliability.
  • Participate in code reviews and enforce best coding and design practices.
  • Collaborate with cross-functional teams to deliver high-quality software solutions.
  • Improve and optimise deployment processes and help deliver reliable solutions.
  • Interact with technical leads and architects to discover solutions that help solve challenges faced by Data Engineering teams.
  • Contribute to building an environment where continuous improvement of the development and delivery process is in focus, and our goal is to deliver outstanding software.

Requirements:

  • You have strong experience in Data Engineering.
  • You are hands-on with Shell Scripting, Python/PySpark, and enjoy working with massive datasets.
  • You have experience working with AWS.
  • You are self-driven and enjoy working collaboratively as part of a team.
  • You can analyse, troubleshoot and resolve customer issues with strong customer focus.
  • You take pride in writing efficient, maintainable code and automating processes to improve efficiency.
  • You enjoy new challenges and are solution-oriented.
  • BE / B. Tech / MCA - No correspondence course.
  • 3-5 years of experience working in a Linux or Unix environment.
  • 1-3 years of experience in Shell Scripting and SQL.
  • Must have strong experience in Python/PySpark.
  • Good to have knowledge and experience with Databricks.
  • Good to have experience working with AWS.
  • Experience with JIRA for user-story/bug tracking.
  • Experience with GIT/Bitbucket.
  • Experience leveraging GenAI in data processing will be a plus.
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