Lee Health | Senior Caboodle Data Engineer | Fort Myers, FL | United States | BigDataKB.com | 14 Oct 2022

Job Location: Fort Myers, FL

Location: Information Systems


Department:
Analytics Center of Excellence


Workdays/Nights:
Days

9299 College Pkwy


Shift:
Shift 1

8:00:00 AM to 4:30:00 PM

Fort Myers, FL 33919


Work Type:
Full Time

Exempt: Yes


Job Summary


Senior Caboodle Data Engineer

We are looking for someone with a strong analytical background who has previous experience as a Caboodle Data Engineer to support Caboodle data warehouse development and integrate other enterprise data. This person will be a part of our Analytics Center of Excellence team to provide analytical support for our business areas.

The Senior Caboodle Data Engineer will work closely with a multi-disciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the organizations connected data, enabling the advancement of data-driven decision-making capabilities of the enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytics solutions. Finally, possessing strong problem-solving skills, working as part of a technical, cross-functional analytics team, and desiring to solve complex data problems and deliver the insights to enable analytics strategy.

Experience Requirements:

Epic Caboodle Developer certification and experience required

Expertise in SQL and data analysis as well as experience with at least one programming language (Python preferred)

Experience developing and maintaining ETL / data pipelines (e.g. Microsoft SSIS, Azure Data Factory)

Significant experience developing and maintaining data warehouses in big data solutions (e.g., Snowflake, SAP Hana, Oracle, SQL Server, Teradata, etc.)

Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)

Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies

Worked with BI tools such as Tableau, Power BI, Looker

Deep knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Experience in using database connections (e.g., SSIS, API, ODBC, etc.)

Healthcare experience preferred but not required

Job Requirements

Responsibilities:

Educational Requirements


Degree/Diploma Obtained
Program of Study
Required/
Preferred
and/or

Bachelor’s
Computer Science, MIS, Engineering
Preferred

Bachelors degree preferred; Computer Science, MIS, or Engineering preferred.


Experience Requirements


Minimum Years Required
Area of Experience
Required/
Preferred
and/or

7 Years
in data engineering or architecture
Required


Additional Requirements

Minimum of seven years of integration or development experience


State of Florida Licensure Requirements


Licenses
Required/
Preferred
and/or


Additional Requirements


Certifications/Registration Requirements


Certificates/Registrations
Required/
Preferred
and/or

Epic Caboodle Developer Certification
Required


Additional Requirements

Expertise in SQL and data analysis and experience with at least one programming language

(Python preferred)

Experience developing and maintaining ETL / data pipelines (e.g. Microsoft SSIS, Azure Data Factory)

Significant experience developing and maintaining data warehouses in big data solutions (e.g., Snowflake, SAP Hana, Oracle, SQL Server, Teradata, etc.)

Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)

Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies

Worked with BI tools such as Tableau, Power BI, Looker

Deep knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Experience in using data base connections, SSIS, API, ODBC, etc.

Healthcare experience preferred but not required.

US:FL:Fort Myers




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