Key skills
CloudDistributed SystemsETLKafkaPythonScalaSparkSQLAIELTData EngineeringData WarehousingAnalytics
About this role
Role Overview
- Design and implement scalable data pipelines
- Build and manage data warehouses and data lakes
- Optimize data processing workflows
- Ensure data quality, reliability, and availability
- Implement data modeling and schema design
- Integrate data from multiple systems
- Implement data validation and monitoring
- Collaborate with analytics, AI, and product teams
- Support data governance and compliance efforts
Requirements
- 3–4+ years of experience in data engineering
- Strong SQL and Python/Scala skills
- Experience with ETL/ELT frameworks
- Experience with cloud data platforms
- Knowledge of distributed systems (Spark, Kafka)
- Experience with data warehousing solutions
- Understanding of data modeling techniques
- Knowledge of DevOps practices for data systems
Tech Stack
- Cloud
- Distributed Systems
- ETL
- Kafka
- Python
- Scala
- Spark
- SQL