About the role
Experience writing high quality, maintainable SQL/Python on large datasets. • Experience with Amazon Redshift, S3, EC2 and other AWS technologies • Experience working with ETL tools like Alteryx, Matillion etc. • Experience working with data quality tools like Great Expectations is preferred • Experience working with data cataloguing tools like DataHub is preferred. • Sound knowledge of the digital media landscape, standard client KPIs and digital campaign metrics • Experience with managing a team of data engineers, keeping them motivated and upskilling them • Experience working on building /optimizing logical data model and data pipelines while delivering high data quality solutions that are testable and adhere to SLAs. • Experience in using various data design patterns and knows when/when not to use one. • Experience with standardising all aspects of a data pipeline like creating UDFs, parameterised workflows etc., so that they can be reused across different clients/use cases • Proven track record of strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams. • Experience working with Data Science and/or Analytics teams in an agile environment is preferred • Solid understanding of and demonstrated experience in using appropriate delivery management tools e.g. JIRA