Data Engineer

​​Role and Responsibilities​ 

The Data Engineer will focus on loading data from various sources into the Data Lake and/or Data Warehouse as well as building and maintaining data pipelines.  

PRIMARY DUTIES 

• Profile and analyze data from multiple sources and data types 

• Build ETL/ELT pipelines to ingest and load data 

• Maintain and monitor data pipelines and schedules 

• Triage and troubleshoot data quality issues and implement corrective actions 

• Build and maintain data transformations 

• Build and standardize reporting objects, data, and logic at the database layer  

• Follow best practices for development, QA, deployment, source code management 

• Ensure proper documentation is maintained, and provide walk-through of definitions and metrics 

• Coordinate closely with other developers to streamline processes and optimize 

• Gain strong knowledge of underlying data and business rules, and assist other teams 

• Adopt agile methodology, and assist in tracking and communicating progress of deliverables 

• Identify improvement opportunities (proactive and reactive)  

• Build and maintain strong relationships with business and IT users, both, onshore and offshore 

Minimum Qualifications and Requirements 

• 4+ years working as a data engineer or data analyst 

• 4+ years working with SQL Server or other relational databases, building data pipelines using ETL tools like ADF, Airbyte, Informatica, etc. 

• 4+ years building objects in a SQL database, including tables, stored procedures, and views 

• Expertise in SQL and data analysis 

• Experience with Healthcare or Financial data preferred 

• Strong ability to quickly understand data relationships and analyze 

• Demonstrated ability in meeting deadlines and communicating progress across projects 

• Ability to coordinate and collaborate with other team members and business owners 

• Excellent communication, organization and time management skills 

• Bachelor’s degree or higher 

Preferred Experience 

• Exposure to cloud data systems (Snowflake) and modern ELT tools (DBT) preferred