Sr. Data Engineering -> 4-8 years of experience
CTC Details: 16 LPA
Data Engineering II -> 2-4 years of experience
CTC Details: 8 LPA
Company Name : Edelweiss
- Defining the technological vision and architecture for scaling their services and infrastructure
across batch, stream, and ML-powered applications and deliver a roadmap for achieving this.
- Working closely with the Analytics, Data Science, DevOps, and backend teams in order to ensure
successful delivery of ETL and data projects.
- Big Data Ecosystems – Spark, PySpark, ELK, Hive, Hadoop
- Programming – Python, Scala, Shell
- Databases – SQL (Postgres, MySQL, Hive)
- Cloud Data Infrastructure – AWS Glue, S3, Aurora, Redshift, Azure Synapse, Data lake, Data Bricks,
- Power BI