- Build ETL (extract, transform, and loading) jobs using Fivetran and dbt for our internal projects and for customers that use various platforms like Azure, Salesforce, and AWS technologies

- Monitoring active ETL jobs in production.

- Build out data lineage artifacts to ensure all current and future systems are properly documented

- Assist with the build out design/mapping documentation to ensure development is clear and testable for QA and UAT purposes

- 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

- Assist the Data Quality Analyst to implement checks and balances across all jobs to ensure data quality throughout the entire environment for current and future batch jobs.

- 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 years 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/PII

- Creative, 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, MapReduce, Hadoop, Sqoop, Pig, HBase, Hive, Flume)