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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expert proficiency in SQL and Python, with extensive experience in architecting and managing large-scale cloud data platforms. Proven ability to lead cross-functional teams in delivering data-driven features while ensuring data quality, governance, and security.
Highest-signal resume keywords
Data EngineeringSQL ProficiencyPython ProficiencyCloud Data PlatformsData Warehousing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData EngineeringData WarehousingData Pipeline OptimizationDimensional ModelingData VaultDistributed ProcessingContainerizationOrchestration
Soft Skills
CommunicationNegotiationInfluencing
Tools & Technologies
AWS GlueGoogle DataflowAzure Data FactoryDockerKubernetesApache SparkFlink
Industry Keywords
Data QualityData GovernanceAgile Product TeamsData StrategyTechnical Leadership
Tech Stack
Tools & technologiesApacheAWSAzureCloudDockerKubernetesPythonSparkSQLVault
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Embrace personal expression
- Open dialogue
- Genuine connections
