Data Engineer – Retail Analytics Engineering
| Company | CVS Health |
|---|---|
| Location | Smithfield, RI, USA, Irving, TX, USA, Richardson, TX, USA |
| Salary | $72100 – $158620 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Junior |
Requirements
- 1-2 years of related work experience including:
- Experience in Azure/GCP (Big Query, GCS, Pub/Sub, DataProc, Airflow/Composer, Snowflake, Azure Cloud Services etc.)
- Experience in Unix/Shell Scripting
- Experience in Python
- Experience in SQL
- 1 – 2+ years experience utilizing programming skills to build robust data pipelines tending to towards Data Integration and Data Quality processes.
Responsibilities
- Manage and support production platform to ensure the quality, performance, and availability of the services that meets business requirements for various CVS Lines of Business
- Identify, design, and implement engineering process improvements through automating manual processes, optimizing data pipelines, re-designing services for greater scalability.
- Required to support an on call 24 x 7 cloud Production Environment supporting and administering products & Services involving platform technologies like GCP, Azure, etc. -Work hands-on with customers to develop, migrate, and debug services issues.
- Ensure server/process documentation is up to date and appropriate or create documentation where none may exist.
- Tier 2 triage, troubleshooting, remediation, and escalation of tickets tied to the product support function.
- Build data pipelines using Azure/GCP platform.
Preferred Qualifications
- Experience in Service Now ticketing system
- Hands on experience in designing and building data engineering solutions in cloud environments (preferably Azure/GCP).
- Hands-on experience with languages like Python, PySpark, SQL, UNIX/Linux scripting to access, extract, manipulate and summarize data.
- Strong understanding of query optimization, data structures, transformation, metadata, dependency, and workload management.
- Experience with CI/CD pipeline, and other DevOps principles/best practices
- Experience with Cloud based tech stack and Cloud components including cluster management, Kubernetes, or other containerized services, storage, and workspace management.
- Experience working in multi-developer environment, using version control (i.e. Git).
- Certified Cloud Engineer in Data engineering track: Azure/GCP preferred
- Good articulation in communicating complex technical subjects to non-technical audience
- Working experience with automation and orchestration tools
- Experience with modern API and microservice patterns
- Knowledge and working experience in agile frameworks like Scrum. Kanban etc.
- Familiarity in Retail / Healthcare / Insurance industry; Knowledge of Health care industry.