Data Engineer

Position Overview:

We are looking for an experienced Data Engineer with a strong foundation in data engineering best practices and experience with modern data warehousing and ETL platforms. The ideal candidate will have at least 5 years of hands-on experience, preferably with Snowflake, SQL Server, AWS and Matillion ETL, to build, optimize, and maintain data pipelines and data integration solutions. This role involves working closely with cross- functional teams to support data-driven initiatives across the organization.

Key Responsibilities:

Data Pipeline Development and Maintenance:

• Design, develop, and maintain scalable and high-performance ETL pipelines using Matillion ETL to ingest, transform, and load data into Snowflake.
• Integrate and manage data from various sources, ensuring data quality, reliability, and performance.
• Optimize SQL queries, scripts, and stored procedures in Snowflake and SQL Server to improve eKiciency and reduce processing time.

Data Warehousing and Modeling:

• Develop and implement data models within Snowflake to support business intelligence and analytics requirements.
• Collaborate with data architects and analysts to design and enhance data warehouse schemas and ensure alignment with reporting and analytics

Collaboration and Requirements Gathering:

• Work with business stakeholders to understand data requirements and translate them into technical specifications.
• Support data architects and analysts by providing guidance on data ingestion, storage, and retrieval methods.

Platform Monitoring and Optimization:

• Monitor data pipeline and ETL performance, identifying bottlenecks and making necessary adjustments to ensure optimal system performance.
• Perform troubleshooting and root cause analysis to resolve data issues and prevent future occurrences.

Qualifications:

• Experience: At least 5 years of experience in data engineering, with proficiency in Snowflake, SQL Server, AWS and ETL tools (preferably Matillion).
• Technical Skills: Strong SQL and Python skills with experience in query optimization and performance tuning.
• Education: Bachelor’s degree in computer science, Information Technology, or a related field.
• Soft Skills: Strong analytical, problem-solving, and communication
• Data Engineering Skills: Experience in building, maintaining, and optimizing data pipelines and ETL processes.
• Data Modeling: Knowledge of data warehousing concepts and hands-on experience in data modeling, particularly within Snowflake.
• Additional Tools and Platforms: Experience with additional ETL tools, data transformation methods, or cloud platforms is a plus.
• Healthcare and PBM: PBM-specific knowledge and experience with transforming various healthcare data is a plus, but not required.