Data Engineer Tech Lead

ProjectWe’re looking for an experienced Technical Lead in the Data Engineering domain. You will be responsible for the design and implementation of the data and analytics platform making data accessible for multiple purposes. Main purposes include insights generation, real world evidence, develop & train ML algorithms and to support data-driven decisions.RoleLead the design and implementation of the data & analytics architecture ensuring compliance, quality and a sustainable growth of the platform. Build scalable data pipelines to integrate and model datasets from different sources that meet functional and non-functional requirements.Provide the technology, the tools and data to support data scientists and analysts in R&D, One Medical and Commercial teams. Manage the technical backlog on the Data & Analytics Platform.Ensure the data quality by implementing and monitoring a data quality framework together with the data source teams. Work with data infrastructure to triage infrastructure issues and drive to resolution.Collaborate with cross-functional stakeholders to understand their business needs. Formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.Foster a data driven culture throughout the team and to lead data science projects that will have impact throughout the organization.Help to grow our data team with exceptional engineers.QualificationsBS degree Computer Science or related field8+ years relevant experience as Data Engineer, building Data Platforms, Datalakes and Business Intelligence solutionsProficient implementing data pipelines (using i.e. Pyspark, Spark SQL, Scala), orchestration tools/services (i.e. Airflow, data factory) and testing frameworks. Proficient with Software Engineering best practices, such as unit testing and integration testing, and software development tools, such as Intellij, Maven, Git, Docker among others.Experience in one of the main cloud services (AWS, Google Cloud or Azure) with Big Data services (EMR, Databricks, Synapse, HDInsight, Kinesis, etc.)Experience in databases (columnar, nosql and relational databases: Redshift, Dynamodb, Aurora, Postgres and/or Snowflake), data modeling and data management tools (Hive, Jupiter, Zeppelin and/or Databricks).Experience with orchestration, automation, integration and continuous delivery frameworks such as Jenkins or Streamsets.Experience with reporting systems and visualization tools Quicksight, Tableau and Looker.Experience working in Agile methodologies What they offerWe are ambitious and passionate people building meaningful products.We actively promote personal and career development so if you like writing blog posts, contributing to open source projects, or are an active participant and/or speaker at conferences and meet-ups, we are here to support you.An innovative agile working environment allowing for collaboration and knowledge sharing in cross-functional teams.Hybrid home office/on-site working model. Loads of benefits (Apple hardware, lunch benefit, training, medical insurance, life insurance, stock options...)Oh, and did we mention the best team in the world!