GCP Data Engineer (Python/PySpark)
Aumnitech LLC
GCP Data Engineer (Python/PySpark) .
Location: 100% Remote (EST preferred, CST okay, no PST)
Duration: 6 months contract-to-hire
Visa: Candidate must directly work on Apolis W2.
Start Date: ASAP (must be able to start within 2-3 weeks of offer)
Must Haves:
- 3+ years of hands-on GCP Engineering experience
- Strong experience with:
- Dataproc
- BigQuery
- Cloud Composer
- PySpark and Python
- ETL development experience with large datasets
- Experience using Python to call APIs
- Healthcare or Insurance industry experience (REQUIRED)
- Strong communication, critical thinking, and problem-solving skills
Job Description:
This consultant will support CVS Health's Provider Roster Bulk Upload initiative within the Aetna Technology organization. The team is migrating large volumes of provider data into GCP and building scalable data processing solutions. The engineer will receive data from upstream teams, transform and validate the data, leverage PySpark and Python-based API integrations, and deliver processed datasets to downstream consumers.
Key Responsibilities:
- Design and develop ETL pipelines in GCP
- Process and transform large-scale datasets using PySpark
- Utilize Dataproc, BigQuery, and Cloud Composer
- Develop Python-based API integrations
- Support data migration and modernization initiatives
- Collaborate with upstream and downstream data teams
Important Interview Notes:
The hiring manager is focused on candidates who can clearly articulate their hands-on experience, technical contributions, and thought process. Candidates should be prepared to discuss:
- Their specific contributions to projects, not just team accomplishments
- Technical decision-making and problem-solving approaches
- Real-world experience with GCP, PySpark, and Python
Sample topics may include:
- Removing duplicate rows from a PySpark DataFrame while retaining the latest record
- Grouping and transforming datasets in PySpark
- ETL design decisions and data processing methodologies
Please send your 2 strongest candidates. We are prioritizing candidates with recent healthcare/insurance experience
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