Looker / Data Engineer

OverviewAt Life Protect 24/7, we're passionate about transforming data into actionable insights. We leverage cutting-edge technology to drive decision-making and deliver exceptional value to our clients. As we continue to grow, we're seeking a talented Looker/Data Engineer to join our team and play a pivotal role in our data engineering initiatives.Job DescriptionWe're looking for an experienced Looker/Data Engineer who excels in SQL and LookML to support our data-driven objectives. In this role, you'll be responsible for writing and optimizing SQL queries in BigQuery, developing and maintaining LookML models in Looker, and building insightful dashboards and looks. You will also support ETL processes and utilize Google Cloud Platform APIs to programmatically achieve data engineering tasks.Benefits and CompensationCompetitive starting salary401K with Company MatchPaid Time OffMedical, Dental, Vision, AD&D, and Life InsuranceHSA OptionsFully stocked kitchen with snacks and coffeeOn site company Cafe BistroConvenient access to walking trails and Norfolk Premium OutletsKey ResponsibilitiesSQL Development: Write and optimize complex SQL queries in BigQuery to extract, transform, and load data efficientlyLooker Development: Design, build, and maintain LookML models in Looker to support data visualization and reporting needsDashboard and Look Creation: Develop and maintain interactive dashboards and reports in Looker to provide actionable insights for various stakeholdersETL Support: Support and manage ETL processes to ensure timely and accurate data integration from multiple sourcesGoogle Cloud Platform APIs: Utilize GCP APIs to programmatically automate and streamline data engineering tasksData Quality Assurance: Monitor and ensure data accuracy and integrity across all reports and dashboardsCollaboration: Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needsInsight Derivation: Derive insights through meticulous analysisComplex Data Models: Strong ability to understand large and complex data modelsPreferred QualificationsProficiency with GitKnowledge of data warehouse principles and methodologiesExperience in data science, advanced analytics, machine learningExperience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formatsExperience GCP cloud services and data warehouse stores like BigQuerySelf-driven, highly motivated and able to learn quickly