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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and optimize large-scale data solutions using Hadoop ecosystem and Databricks to process terabytes of data daily.
Develop, unit test, and implement custom data applications, focusing on efficient, reusable, and reliable code mainly in Python/PySpark and Shell scripting.
Perform troubleshooting, root cause analysis, and optimize system reliability while collaborating with technical leads and cross-functional teams to deliver high-quality data engineering solutions.
Minimum Requirements
Bachelor's degree in BE/B.Tech/MCA (no correspondence courses).
3-5 years experience in Linux/Unix environment; 1-3 years experience in Shell Scripting and SQL.
Strong hands-on experience with Python/PySpark; experience with Databricks and AWS is desirable but not mandatory.
Experience with JIRA for issue tracking and GIT/Bitbucket for version control.
Ideal Candidate Profile
Experienced data engineer comfortable working with large datasets and modern cloud data platforms, preferably familiar with Epsilon's scale and data complexity.
Technically proficient in scripting, data transformation, and cloud-native automation, with demonstrated ability to improve efficiency and system reliability.
Collaborative operator who works closely with architects and technical leads to define and implement robust scalable data solutions in an agile environment.