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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data integration solutions, ETL processes, and healthcare data management, with proficiency in Hadoop and Spark ecosystems for data transformation. Strong analytical skills and ability to collaborate across teams to enhance data-driven decision-making.
Highest-signal resume keywords
Data Integration SolutionsETL DevelopmentHadoop Ecosystem ToolsSpark Ecosystem and PySparkHealthcare Data Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data MappingData TransformationHadoopSparkPythonBashPowerShellJIRAAgile ProcessesMicrosoft Office Suite
Soft Skills
Critical ThinkingAttention to DetailCommunication SkillsCuriosity and Learning AgilityResilience
Tools & Technologies
HueHiveImpalaHDFSExcelPowerPointWordOutlook
Industry Keywords
Healthcare InformaticsData ScienceBiostatisticsHealth Information ManagementSoftware Development LifecycleData Engineering Best Practices
Tech Stack
Tools & technologiesETLHadoopHDFSPySparkPythonScalaSDLCSparkSQL
About the role
Key responsibilities & impact- Support development and optimization of data integration solutions and scalable data integration frameworks
- Assist with ETL process refinements for effective data flow
- Contribute to cross-functional, matrixed project teams and day-to-day project activities
- Collaborate with departments to integrate data needs into strategic plans
- Execute and improve processes, suggesting enhancements and documenting updates
- Participate in research, design, programming, testing, and implementation
- Coordinate meetings, manage agendas, and track action items across Business Units
- Help technical product owners, architects, and engineers refine business requirements and acceptance criteria
- Execute data mapping and transformation using Hadoop and Spark ecosystems
- Analyze, validate, and prepare large healthcare datasets
- Track project progress, identify and resolve issues, and support change and release management activities
Requirements
What you’ll need- High School Diploma required
- Bachelor’s degree in Computer Science, Information Systems, Healthcare Informatics, Data Science, Biostatistics, Health Information Management, or a related field preferred
- 1–2 years of experience in technical roles required; 2+ years preferred
- Exposure to healthcare data management, ETL development, data integration, or a similar field
- Proficiency with Hadoop ecosystem tools, including Hue for Hive and Impala queries
- Proficiency with Spark ecosystems and PySpark, Scala, or Spark SQL for data transformation, ETL, and analytics
- Proficiency with command line interfaces, including Bash and PowerShell, and hdfs dfs for HDFS operations
- Proficiency in Python for data transformation and file extraction/processing
- Proficiency in Microsoft Office Suite, including Excel, PowerPoint, Word, and Outlook
- Proficiency in JIRA and Agile processes
- Understanding of the software development lifecycle (SDLC)
- Understanding of data engineering best practices
- Ability to provide a dedicated, secure work area
- High-speed internet access/connectivity and office setup and maintenance
- Critical thinking, attention to detail, quantitative aptitude, data interpretation, communication skills, curiosity and learning agility, resilience, and ethical integrity
Benefits
Comp & perks- Medical, dental, vision, disability, and life insurance coverage
- 401(k) savings plan
- Paid family leave
- 9 paid holidays per year
- 17–27 days of Paid Time Off (PTO) per year, depending on level and length of service
- Remote work
- Virtual interviews