Responsibilities

- Design, build, and scale data pipelines to support enterprise reporting and analytics across large, complex datasets.
- Build of modern data warehouse platforms to enable reliable, scalable reporting and BI use cases.
- Adoption of best practices in data engineering, coding standards, and cloud infrastructure.
- Partner with product, analytics, and engineering teams to deliver reliable data solutions.

Qualifications

- 5-8 years of experience
- Experience in Data engineering with proven track record of impact.
- Strong expertise in Big Data ecosystems (Apache Spark, Hadoop, Delta Lake, Hudi, Kafka, Qlik).
- Strong in database technologies such as PostgresSQL, MySQL, MSSQLServer.
- Proficiency in SQL, Python/Scala for data processing.
- Hands-on experience with cloud platforms (AWS preferred) - EMR, Glue, S3, Lambda, etc.
- Experience with data modeling, warehousing, and distributed systems.




- Strong knowledge of enterprise DWH systems for reporting and analytics (e.g., schema design, query optimization, BI integration).
- Strong problem-solving, debugging, and system design skills.
- Experience with Redshift or other contemporary data warehouse platforms (e.g., Snowflake, Databricks, BigQuery).
- Exposure to Greenplum or other MPP (Massively Parallel Processing) databases.
- Exposure to AI/ML data pipelines or advanced analytics platforms.
- Experience with CI/CD, Terraform, Kubernetes, Docker in data environments.
- Knowledge of data governance, security, and compliance practices.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Software Engineer (Bengaluru)
🏢 Epsilon Data Management
📍 Bengaluru