Our client, a large provider of healthcare and health services, is looking for a Database Engineer to join their IT team.

Duties and Responsibilities

• Design, develop, and maintain scalable, reliable data pipelines.
• Implement ETL/ELT processes to integrate data from various sources into data warehouses and lakes.
• Create and maintain logical, physical, and conceptual data models.
• Optimize database schemas and structures to enhance performance and scalability.
• Integrate data from APIs, streaming services, and third-party sources.
• Automate workflows to streamline data ingestion and processing.
• Monitor and optimize database performance, query execution, and system reliability.
• Apply data partitioning, indexing, and caching techniques to improve performance.

Skills:

• Proficiency in SQL or Python for data processing.
• Experience with cloud platforms related tools (Redshift, BigQuery, Snowflake).
• Hands-on experience with big data tools like Hadoop, Spark, or Kafka.
• Knowledge of database technologies (Microsoft SQL, PostgreSQL, MySQL, NoSQL databases).

Education/Experience:

• Experience with data visualization tools
• DevOps principles and CI/CD pipelines.
• Cloud-based Enterprise Data Warehouse (EDW) environments.
• Data preparation and delivery in a Value-based care environment.
• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.