Data Engineer

If you have an interest in being part of one of the fastest growing industries in the nation in you may consider wanting to work for Trulieve! If you have a desire to help others in need through your efforts, this may be the role for you!
At Trulieve, we strive to bring our patients the relief they need in a product they can trust. Our plants are hand-grown in an environment specially designed to reduce unwanted chemicals and pests, keeping the process as natural as possible at every turn.
Our products are designed to alleviate seizures, severe and persistent muscle spasms, pain, nausea, loss of appetite, and other symptoms associated with serious medical conditions such as cancer.
Our specially trained staff works hand-in-hand with physicians to provide the right products and the correct dosage to ensure patients get the compassionate care they need.
To learn more about our company, please visit our website;

Requisition ID:

13415
Remote Work Available:

Yes
Data Engineer
Department - Data Analytics
Reporting to: Manager of Data Engineering
Location: Remote
Role Summary:
Tremendous opportunity to be a key participant in the Data Engineering function, utilizing innovative DataOps processes at a company on an explosive growth path with modern, cloud-based data and analytics platforms.
The Data Engineering team is responsible for designing/modeling, developing, and managing the data platforms and data pipelines that support both data governance as well as reporting and analytics solutions for Trulieves enterprise business data. The Data Engineers role is to support a highly scalable data solution that meets the business requirements of the stakeholders across the enterprise. This role will partner closely with the Data Governance and Analytics teams.
Key Duties and Responsibilities:
Create mapping (source to target) logic and develop CDC/ETL/ELT jobs to support the data pipeline, following best practices and producing supporting documentation
Design and implement data quality checks as well as error handling throughout the data pipeline
Perform Source System Analysis for Data Ingestion in Data Lake Platform
Maintain and enhance data models across all the organizations data systems
Work with the Scrum Master and DataOps/Release engineers for PI Planning, Sprint planning, tracking, backlog grooming, and Sprint retrospectives
Actively participate in code and design peer reviews
Ensure solutions and processes comply with company policies for security, governmental and local laws, as well as data privacy regulations and Sarbanes-Oxley (SOX).
Develop and demonstrate a thorough understanding of the Trulieve business
Develop and demonstrate a high degree of Data Literacy and understanding of Data and Analytics competencies, including reporting, data science, data engineering, and data governance
Respond to and resolve support incidents as assigned, meeting services SLAs; assist in managing issues throughout the process including problem identification, root cause analysis, and remediation
Support managing issues throughout the process including problem identification, root cause analysis and solutioning
Support user acceptance testing, production deployments, and hyper-care transitions
Perform other duties as assigned.
Requirements
3+ years of experience with a proven track record as a Data Engineer
Bachelor Degree in computer science, math, analytics, engineering, or related field
Expert knowledge of writing and executing SQL Queries, Python is a plus
Expert knowledge of SQL and Relational Database design
Hands on experience with a variety of data integration methodologies (ELT/ETL) in a data warehouse environment; experience using Python for web-based API integration and ETL scripting is a plus
Ability to read and interpret solution design, data architecture and design, and data models
Experience developing and supporting AWS cloud-based data stores, databases, and other data serving layers
Solid understanding of information/data management techniques such as Data Warehousing, ETL Processing, and Data Modeling
Solid understanding of various business processes and organizations and the data they generate and consume
Experience designing and developing normalized and dimensional models
Expertise in data warehouse performance optimization
Ability to translate business requirements into data engineering requirements for building cloud-based data solutions
Hands on experience with SAP HANA modeling, and strong knowledge of SAP ECC or S/4 tables and fields
Hands on experience preferred with Parquet and Key Value Pair.
Experience with reporting tools such as Tableau, SAP Analytics Cloud, and Power BI
Experience with Microsoft PowerPoint and diagraming tools such as Microsoft Visio
Familiarity with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
Experience in an Agile Scrum or SAFe environment
Strong written and verbal communication skills
Ability to work independently as well as on a team
Self-motivated, continuous improvement mindset and can work with minimal direction
Experience in balancing multiple projects and efficiently meeting goals in a fast-paced environment
ADDITIONAL MINIMUM QUALIFICATIONS
Must be able to pass a level 2 background check
Equal Opportunity Employer l Trulieve Supports a Drug Free Workplace
Salary will be commensurate with experience. A comprehensive benefits package including paid time off is offered with this position. This position will work an average of 40 hours per week and will be available after hours if an emergency situation should arise.
Trulieve provides equal employment opportunities to all employees and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, pregnancy or any other characteristic protected by federal, state or local laws.
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