Principal Data Engineer

Responsibilities Provide technical leadership for the digital solution navify Cervical Screening Drive architectural decisions and oversee data integration Ensure delivery of features and improvements Provide orchestration within cross?functional agile product teams Influence strategic direction and delivery of data?driven features Ensure best practices and support organization?wide standards for data quality, governance, security, and observability Act as a technical subject matter expert, mentoring Senior and Staff Engineers Partner with cross?functional stakeholders to shape data strategy Qualifications 8+ years of professional experience in a Data Engineering role Expert proficiency in SQL and Python Extensive experience architecting and managing large?scale cloud data platforms (e.G., AWS Glue, Google Dataflow, Azure Data Factory) Deep expertise in containerization and orchestration (Docker/Kubernetes) Deep, hands?on expertise in data warehousing concepts, advanced modeling techniques (e.G., dimensional modeling, data vault) Proven track record of building, optimizing, and leading the deployment of massive?scale, highly concurrent data pipelines using distributed processing frameworks (e.G., Apache Spark, Flink) Exceptional communication, negotiation, and influencing skills #J-*****-Ljbffr

Responsibilities Provide technical leadership for the digital solution navify Cervical Screening Drive architectural decisions and oversee data integration Ensure delivery of features and improvements Provide orchestration within cross?functional agile product teams Influence strategic direction and delivery of data?driven features Ensure best practices and support organization?wide standards for data quality, governance, security, and observability Act as a technical subject matter expert, mentoring Senior and Staff Engineers Partner with cross?functional stakeholders to shape data strategy Qualifications 8+ years of professional experience in a Data Engineering role Expert proficiency in SQL and Python Extensive experience architecting and managing large?scale cloud data platforms (e.G., AWS Glue, Google Dataflow, Azure Data Factory) Deep expertise in containerization and orchestration (Docker/Kubernetes) Deep, hands?on expertise in data warehousing concepts, advanced modeling techniques (e.G., dimensional modeling, data vault) Proven track record of building, optimizing, and leading the deployment of massive?scale, highly concurrent data pipelines using distributed processing frameworks (e.G., Apache Spark, Flink) Exceptional communication, negotiation, and influencing skills #J-*****-Ljbffr