Role & responsibilities
As a Senior Data Engineer, you manage and develop the solutions in close alignment with various busin
stakeholders. You are responsible for the implementation of the IT governance guidelines.
Collaborate with the Spokes Data Scientists, Data Analysts, and Business Analysts, when relevant.
Tasks
sources using Pyspark, SQL and AWS big data-technologies
and other key business performance metrics
Must Have:
Advanced knowledge:
Optional:

Keyskills: AWS Data Engineering SQL Aws Lambda Glue IAM SQS Quicksight EC2 Data Lake Data Warehousing ETL Athena Lambda Data Lake Storage
Option Us This company is a worldwide leader in outdoor power equipment which is used in Forestry, Agriculture, and Landscaping and Construction segments. It is more than 90 year old company with 16,000 employees worldwide. Revenue for the year 2017 was 3.8 Billion Euros. H.Q - Germany