Senior Data Engineer
Skills
Data EngineeringSQLAirflowAmazon Web ServicesExtractTransformLoad
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of Data Engineering experience
- Hands-on experience with containerization platforms such as Docker and container orchestration tools like Kubernetes
- Hands on experience with automation tools like Jenkins and Terraform
- Proficiency in Python programming, SQL and performance tuning of queries, and AWS service stack
- Familiarity with workflow orchestration tools such as Airflow
- Comfortable working in ambiguous team-situations, showcasing adaptability and drive in solving novel problems in the data-engineering space
Day to day
- Develop and maintain scalable data pipelines for both streaming and batch processing
- Collaborate with cross-functional teams to understand diverse data sources and environment contexts, ensuring seamless integration into our data ecosystem
- Utilize AWS service-stack wherever possible to implement lean design solutions for data storage, data integration, and data streaming problems
- Stay abreast of emerging technologies in the data engineering space, proactively incorporating them into our ETL processes
