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Data Warehouse Developer

2 months ago


Madison, United States Novalink Solutions LLC Full time
Job DescriptionJob DescriptionWe have an immediate opening at the Department of Employee Trust Funds (ETF) for a strong Data Engineer to
participate in our Data Management Program. Data is one of our most valuable assets and we strive to become a more
data-literate and data-driven organization. This position will work on a small, collaborative team that uses agile practices
to deliver value to our business partners.
Desired Experience
Gathering requirements and developing technical specifications for ETL – 6 years
Using ETL tools to design ETL jobs (ETL 6 years, preferably 2 years of with Alteryx)
Developing various types of data loads (e.g. incremental, history/full, survivorship rules) – 6 years
Implementing change data capture (CDC) – 4 years
Testing and debugging ETL – 6 years
Developing complex SQL - 6 years
ETL job scheduling – 2 years
Loading data warehouses using ETL tools – 2 years
Management of multiple ETL tools
Experience with data quality tools and frameworks
Using source code version control software
Mentoring to others on ETL development
Managing multiple, concurrent projects and tasks
Having strong interpersonal skills including communication, mentoring, collaborating, and team building
ETF Technologies
Alteryx
SSIS
SSRS
SQL Server
Tableau
Semarchy
Git & github

RequirementsTop Required Skills & Years of Experience:
a. Gathering requirements and developing technical specifications for ETL – 6 years
b. Using ETL tools to design ETL jobs (ETL 6 years, MINIMUM 2 years of ETL with Alteryx)
c. Developing various types of data loads (e.g. incremental, history/full, survivorship rules) – 6 years
d. Implementing change data capture (CDC) – 4 years
e. Testing and debugging ETL – 6 years
f. Developing complex SQL - 6 years (should be recent experience)
g. ETL job scheduling – 2 years
h. Loading data warehouses using ETL tools – 2 years

Nice to Have Skills:
a. Management of multiple ETL tools
b. Experience with data quality tools and frameworks - preferred
c. Using source code version control software - preferred