Verve is looking for a Senior Data Engineer to join their Data Processing team. The team is responsible for designing and maintaining scalable, real-time, and batch data processing pipelines. The successful candidate will focus on developing and optimizing data processing workflows, ETL pipelines, and streaming solutions.
Requirements
- 5+ years of experience as a Data Engineer working on large-scale ETL/data processing pipelines
- Experience handling daily terabytes of data efficiently
- Strong knowledge of Apache Kafka for streaming data processing
- Strong expertise in Apache Spark (Scala) for batch and real-time processing
- Proficiency in orchestration tools like Apache Airflow
- Proficiency in GCP, including services like BigQuery, Dataflow, and Dataproc
- Solid understanding of data modeling techniques, including Star/Snowflake schema and state of the art Lakehouses
- Strong SQL skills, including query optimization and performance tuning
- Familiarity with Apache Druid or other OLAP engines
- Strong knowledge of infrastructure as code (Terraform)
Benefits
- Medical Insurance for you and your family
- Personalized Benefits Platform
- Office lunches 3 times a week through Zomato
- Office sweets, snacks, and beverages
- Annual training budget & internal webinars
- German/English classes
- 19 paid vacation days + 3 Wellness days throughout the year
- Public holidays
- Monthly Work&Travel raffle