Full Stack Data Engineering Lead Analyst
2 weeks ago
About Evernorth Health Services
Evernorth Health Services exists to elevate health for all, by championing affordable, predictable and simple healthcare. As a global leader in the healthcare industry, we innovate solutions that make a real difference.
Job Summary:
We are seeking an exceptional Full Stack Data Engineer Lead Analyst to join our Data & Analytics Engineering organization. The ideal candidate will be responsible for delivering business needs from requirement understanding to production deployment, leveraging critical technologies with proficiency in others and a hunger to learn on the job.
About the Role:
This role requires ownership, eagerness to learn, and an open mindset. Critical attributes of being a Full Stack Engineer include automation first and continuous improvement mindset, driving the adoption of CI/CD tools and supporting process improvements.
The Full Stack Engineer should have an iterative agile pattern daily, articulate clear business objectives aligned to technical specifications, and take ownership of work tasks while interacting with all levels of the team.
Key Responsibilities:
- Design and architect solutions independently
- Take ownership and accountability for delivered tasks
- Write modular code and ensure ongoing data quality monitoring
- Be fluent in particular areas and have proficiency in many areas
- Prioritize passion to learn and professional growth
Requirements:
Required Skills:
- Experience developing data integration and ingestion strategies using Snowflake cloud data warehouse, AWS S3 buckets, and loading nested JSON formatted data
- Good understanding of snowflake cloud database architecture
- Expertise with big data technologies – Databricks, Hadoop, HiveQL, Spark (Scala/Python)
- Expertise on Cloud technologies – AWS (S3, Glue, Terraform, Lambda, Aurora, Redshift, EMR)
- Experience working on Analytical Models and their deployment / production enablement via data & analytical pipelines
- Expertise in Query Tuning/Performance improvements
Required Experience & Education:
- 8+ years of professional industry experience
- Bachelor's degree (or equivalent) required
- 5+ years of Python scripting experience
- 5+ years of Data Management & SQL expertise in Teradata & Snowflake
- 3+ years being part of Agile teams – Scrum
Salary Information:
We offer a competitive salary range of $150,000 - $200,000 per year, depending on experience and qualifications.
Location & Hours of Work:
- This role is located in [Specify location], and the hours of work are [Specify hours].
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