Senior Data Engineer
4 weeks ago
We are seeking a highly skilled Senior Data Engineer to join our team at Saviance. As a key member of our Data Engineering team, you will be responsible for designing and implementing robust, scalable, and high-performance data pipelines to support our organization's data needs.
Key Responsibilities:
- Design and implement data ingestion, transformation, and quality features to support application engineering, analytics, and business verticals.
- Collaborate with data architects and business analysts to build data models that improve reliability and interpretability of data.
- Design, develop, and maintain data export solutions to facilitate efficient data transfer to external systems and platforms.
- Actively contribute to the creation of design documents, assess technologies, and conduct proof of concepts.
- Experience supporting production jobs and mitigating issues in a timely manner.
Requirements:
- 5+ years of experience as a data engineer with a focus on building enterprise data solutions.
- 3+ years of cloud experience with Azure (preferred), AWS, or GCP.
- Expertise in Microsoft SQL Server (preferred) or other relational databases.
- Strong experience in Microsoft ETL stack, SSIS, Azure Data Factory.
- Strong programming skills in Python, C#, or other programming languages.
- Expertise with SQL, stored procedures, triggers, and performance tuning.
- Experience working with big data technologies: Spark, Databricks, or other frameworks.
Preferred Qualifications:
- Prior experience in building data pipelines that are scalable, reliable, and fault-tolerant while delivering data integrity and code quality.
- Experience in building data lakes to support high-speed querying by end-users.
- Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
- Prior experience working with healthcare information exchange standards like HL7, X12 EDI, FHIR.
- Experience or knowledge with creating RESTful APIs is a plus.
- Experience building dashboards and visualizations using Power BI or other tools is a plus.
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