Job Title: Data Engineer (SQL + Python)


Full Time/Direct Hire


FT. Meyers, Florida, Hybrid of 3 days onsite -2 days remote.


Summary


The Data Engineer role is responsible for building the foundation for a Datawarehouse using


best practice ETL/ELT methodologies. This position will develop and maintain data pipelines,


interfaces, and process automation. The Data Engineer will be required to investigate and


understand datasets from dozens of discrete sources that may or may not always have


available documentation. This position must communicate highly complex data trends to


organizational leaders in a way that's easy to understand. The position requires collaborating


with the existing BI/Analytics teams, Software and Database developers to create a centralized


repository and platform to be used by all data consumers in the organization. The Data


Engineer must demonstrate advanced knowledge of SQL, OOP development concepts, and


Business Intelligence/Analytics. The position requires the ability to develop code for use in the


automation of data pipelines. This position reports to Manager, Data engineering.


**Essential Duties and Responsibilities include the following.** Other duties may be assigned.


Build scalable data pipelines that clean, transform, and aggregate data from disparate


sources


Assemble large, complex data sets that meet functional / non-functional business


requirements


Collaborates with analytics and business teams to improve data models that feed


business intelligence tools, increasing data accessibility and fostering data-driven


decision making across the organization


Build the infrastructure required for optimal extraction, transformation, and loading of


data from a wide variety of data sources using SQL and Snowflake technologies


Identify, design, and implement internal process improvements: automating manual


processes, optimizing data delivery, re-designing infrastructure for greater scalability,


etc.


Implements processes and systems to monitor data quality to ensure production data is


always accurate and available


Writes unit/integration tests, contributes to engineering wiki, and documents work


Defines company data assets (data models)


Designs data integrations and data quality framework


Build analytics tools that utilize the data pipeline to provide actionable insights into key


business performance metrics


Works closely with a team of frontend and backend engineers, developers, and analysts


**Education and Qualifications:**


Master's Degree preferred, Bachelor's required in Computer Science, Information


Technology, Informatics, Engineering, Statistics or equivalent.


4+ Years Prior experience as a Data Engineer, Data Scientist, or Database Administrator


required


Advanced working SQL knowledge and experience working with relational databases,


query authoring (SQL) as well as working familiarity with a variety of databases


Experience with object-oriented/object function scripting languages: Python, Java, C#,


Scala, etc.


Experience with Cloud Datawarehouse technologies (Snowflake/Redshift) and design


Ability to create and maintain optimal data pipeline architecture


Hands-on experience building and maintaining ETL/ELT processes


Experience interacting with and extracting data from RESTful APIs


Experience with commercial ETL/ELT toolsets: Talend, Stitch, Fivetran, etc.


Experience building data visualizations using BI tools


Experience with AWS Cloud services


\#TJP2022-SPEC #P1


**You should know:** Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A Kelly recruiter will confirm and share more details with you during the interview process.


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**About Kelly** ****


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