Senior Data Engineer

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