Position: Senior Data Engineer
Company: Websmile
Experience required: 3y
English level: intermediate

You will be part of a data engineering team in a global worldwide leader in smart energy technology which provides cutting-edge solutions for the way power is harvested and managed in solar photovoltaic (PV) systems.

**In this role you will:**

·       Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.

·       Responsible for building data and analytical engineering solutions with standard end to end design & ETL patterns, implementing data pipelines, data modelling and overseeing overall data quality.

·       Responsible to enable access of data in cloud providers such as AWS storage layers and transformations in AWS Data warehouse and further transporting in respective databases, consumers, data marts etc.

·       Demonstrate proficiency knowledge of on Python web framework such as Flask or Django.

·       Experience with high-volume production environments including recovery and resilience infrastructures.

·       Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.)

**Requirements:**

·       Bachelor’s degree in Data Science, Computer Science, or related degree.

·       A minimum of 4+ year of similar experience working on Database(s), SQL, Python, Data warehouse, Java, ETL and AWS cloud platform is required

·       Experienced in Deployment process on-Premise and on-cloud using Kubernetes, Dockers, Jenkins

·       Experience with Technology Stacks such as ELK, Sentry, AirFlow.