What are the responsibilities and job description for the HVR Data Engineer position at Apolis?
Job Title : HVR Data Engineer
Location : Remote
Tax Term (W2, C2C) : W2
Job Type (Permanent / Contract) : Contract
Duration : 12 Months
Job Overview :
We are looking for a talented and motivated HVR Data Engineer to join our forward-thinking healthcare team. In this role, you will utilize your expertise in HVR (real-time data replication), Python, SQL, and Azure Cloud technologies to develop and maintain data integration and transformation solutions. Your contributions will be pivotal in ensuring smooth data flows, improving data quality, and enabling actionable insights that will directly benefit patient care and operational processes.
Key Requirements :
HVR (Real-Time Data Replication)
Python
Azure Cloud Experience
Snowflake
Healthcare Experience (Preferred but not required)
Responsibilities :
As a key member of the team, you will :
Work extensively with HVR to set up and maintain real-time data replication, ensuring data is constantly up-to-date and reliable.
Leverage your Python skills to automate data ingestion and transformation, making the process more efficient and scalable.
Develop and implement SQL queries for data transformation and extraction, ensuring accurate and timely data flow.
Utilize Azure Cloud technologies to build and deploy scalable, cloud-based solutions.
Work primarily with Snowflake as a data warehousing solution to store and manage large datasets, ensuring efficient storage and retrieval processes.
Handle diverse file formats including CSV, JSON, and YAML, with a primary focus on data originating from Epic but also integrating other data sources as required.
Automate tasks and streamline processes to improve overall data ingestion, transformation, and integration efficiency.
Implement best practices for data replication and transformation processes, ensuring data integrity and operational success.
Daily Tasks and Specifics Include :
Pivoting and unpivoting data for easier analysis and integration.
Parsing unstructured data changes and handling vendor system upgrades.
Using Python to automate repetitive tasks, transform and filter large datasets, and identify changes efficiently.
Collaborating with other teams to ensure a smooth data integration process, including data ingestion and transformation pipelines.
Establishing and maintaining real-time data replication with HVR to ensure continuous data flow across systems.
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