Data Engineer

Location: Tallahassee, FL

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Job Posted:
Dec 10, 2024
Company:
Trulieve

Company & Role Overview

Summary

Requisition ID:

Remote Work Available:

  • 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 organization's 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 SLA's; 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.
  • 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
  • Must be able to pass a level 2 background check

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About Trulieve