Senior Software Engineer
Epsilon (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 14–26 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and manage ETL/ELT pipelines in Databricks with PySpark/SparkSQL to support large-scale business operations.
- Lead solution design, coding, and quality assurance for data engineering projects, ensuring scalable and high-performance data access.
- Mentor junior engineers and collaborate globally to align enterprise data warehouse assets with evolving business needs.
Minimum Requirements
- 5-8 years of data engineering experience with Apache Spark and database expertise (preferably Databricks).
- Bachelor's degree in Computer Science or equivalent.
- Strong skills in SQL (basic and advanced), Python, and CI/CD practices including Git version control.
- Experience with scheduling tools like Airflow and knowledge of disaster recovery and business continuity solutions.
Ideal Candidate Profile
- Experienced in managing large data volumes (terabytes and above) in data warehouse environments.
- Capable of working effectively with global, culturally diverse teams and interfacing with clients and vendors.
- Strong understanding of both relational databases and big data lakehouse architectures (e.g., Apache Hive, AWS Glue, Databricks).