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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing modern data solutions, with a strong focus on cloud data engineering and on-premises data platforms. Proficient in SQL, Python, and performance improvement techniques, while effectively collaborating in agile environments.
Highest-signal resume keywords
SQL Database ManagementCloud Data Engineering (AWS, GCP, Azure, Databricks, Snowflake)On-Premises Data Engineering (Microsoft SQL Server, Oracle, Teradata)Data Warehousing and Dimensional Data ModelingPerformance Improvement Techniques
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonPySparkData WarehousingDimensional Data ModelingSchema DesignTroubleshooting Data IssuesPerformance Improvement TechniquesProcess ImprovementAgile Methodologies
Soft Skills
CollaborationCommunicationOwnershipProblem-SolvingTeamwork
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Engineering
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformMS SQL ServerOraclePySparkPythonSQL
About the role
Key responsibilities & impact- Deliver high-quality modern data solutions
- Collaborate with engineering, analyst, data scientist, and product teams in an agile environment
- Design, integrate, and implement on-premises data solutions
- Support migration of existing workloads to the cloud
- Design and develop data solutions using modern programming languages
- Process payer files into the data warehouse
- Troubleshoot data issues and apply performance improvement techniques
- Identify and implement process improvements and best practices
Requirements
What you’ll need- 6+ years of experience working with SQL and relational database management systems
- 3+ years of experience in cloud data engineering platforms such as AWS, GCP, Azure, Databricks, and Snowflake
- 3+ years of experience in on-premises data engineering platforms such as Microsoft SQL Server, Oracle, and Teradata
- Programming and modifying code in SQL, Python, and PySpark
- Hands-on experience with dimensional data modeling, schema design, and data warehousing
- Hands-on experience troubleshooting data issues
- Hands-on experience with performance improvement techniques
- Willingness to identify and implement process improvements and best practices
- Ability to take ownership and work in a fast-paced, collaborative, team-based support environment
- Excellent oral and written communication skills
- Bachelor's degree in Computer Science / Engineering
Benefits
Comp & perks- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being
- Eligibility for CVS Health bonus, commission or short-term incentive program in addition to base pay