NEWPosted 1 hour ago
Job ID: JOB_ID_6622
Job Summary:
We are seeking a skilled Data Engineer with extensive experience in large-scale data ELT processes, Python, and Snowflake. The ideal candidate will have a strong background in Snowpark and AWS services, coupled with a deep understanding of data modeling and SQL.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines for ELT processes.
- Utilize DBT, Python, and Snowflake for data transformation and warehousing.
- Implement and manage data solutions using Snowpark and various AWS services including DMS, Lambda, Step Functions, Batch, and Glue.
- Develop and optimize data models to support business intelligence and analytics needs.
- Write efficient and complex SQL queries for data extraction and manipulation.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data quality, integrity, and reliability across all data systems.
- Troubleshoot and resolve data-related issues.
Must-Have Qualifications:
- 5+ years of experience in large-scale data ELT using DBT, Python, and Snowflake.
- 5+ years of experience with Snowpark and AWS (DMS, Lambda, Step functions, Batch, glue).
- 5+ years of experience in Data modeling.
- 10+ years of experience in SQL.
Preferred Qualifications:
- Experience with MySQL, Postgres, SQL Server databases is a plus.
- Healthcare domain experience, especially Pharma.
- Candidates who have worked at CVS, Express Scripts, Optum, Prime Therapeutics, or similar organizations are highly desirable.
Keywords:
database, information technology, Data Engineer
Compensation & Location
Salary: $120,000 – $180,000 per year (Estimated)
Location: Remote
Recruiter / Company – Contact Information
Email: eemrecruiter65@gmail.com
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