Job Description :

Data Engineer (Data Warehouse Developer III)

We 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 

Top Skills & Years of 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

Nice to Have:

·         Management of multiple ETL tools

·         Experience with data quality tools and frameworks - preferred

·         Using source code version control software - preferred

 

             

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