Data Engineer - Domain Data (MarTech)

+2 years of experience building complex data pipelines Working with both technical and business stakeholders Good SQL language regardless of the underlying data technology Relevant experience with designing for scale and data growth Potential to build rock-solid Python applications Relevant experience with cloud data technologies (AWS, GCP, or Azure Cloud), such as Redshift, Athena, Spark) Familiarity with Kubernetes and Docker deployment Knowledge and curiosity about other big data technologies and tools Relevant experience working with Marketing, advertising teams is a plus Experience with data consulting and managing stakeholders is also a plus Relevant experience with analytics and defining metrics Relevant experience with measuring data quality Good communication skills Excellent written and verbal proficiency in English

Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models Build, maintain, and improve rock-solid data pipelines using technologies like AWS Redshift, Trino, Python, Spark, Airflow, and Kinesis streaming Support teams without data engineers with building decentralized data solutions and product integrations Follow and promote Data Mesh principles around decentralized data ownership and ‘data as a product’ Act as a data ambassador promoting the value of data and our data platform Continuously look for opportunities to integrate data into our end products Cooperate with product teams to streamline source data Enforce privacy and security standards Increase data literacy of the engineering organization by hosting trainings and mentoring other engineers