Data Engineer 2

Overview

Data Engineer will be responsible for best practices related to data architecture, ETL and documentation of data flow within AssistRx source systems and client implementations. Additionally, support existing systems/processes and develop new features and functionality, along with reviewing, presenting and implementing enhancements.

Responsibilities

• Design ETL (extract, transform, and loading) processes within Azure, dbt, Snowflake and Salesforce for client migrations
• Build processes for data matching and clean-up prior to loading of migration data. Responsible for all data flow documentation from a client implementation perspective.
• Assist with the database design, the build out and documentation of internal processes as it relates to Salesforce multi-tenant solutions to ensure it meets customer requirements for downstream data products. Assess current and future data transformation needs to recommend, develop, and train new data integration tool technologies
• Discover efficiencies with shared data processes and batch schedules to help ensure no redundancy and smooth operations
• Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence and MDM solutions, including Data Lakes/Data Vaults.

Qualifications

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work 3-5 year’s experience with a strong proficiency with SQL query/development skills
• Develop ETL routines that manipulate and transfer large volumes of data and perform quality checks
• Hands-on experience with ETL tools (e.g Informatica, Talend, dbt, Azure Data Factory)Experience working in the healthcare industry with PHI/PIICreative, lateral, and critical thinker
• Excellent communicator
• Well-developed interpersonal skills
• Good at prioritizing tasks and time management
• Ability to describe, create and implement new solutions
• Experience with related or complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)Knowledge / Hands-on experience with BI tools and reporting software (e.g. Cognos, Power BI, Tableau)Big Data stack (e.g.
• Snowflake(Snowpark), SPARK, Map
• Reduce, Hadoop, Sqoop, Pig, HBase, Hive, Flume)

Pay Range

USD $111,496.00 - USD $139,370.00 /Yr.