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    Data Engineer - Meridian, United States - Scentsy

    Scentsy
    Scentsy Meridian, United States

    3 weeks ago

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    Description
    Data Engineer

    Meridian, ID )

    • IT
    Description


    Scentsy is looking for aData Engineerto provide innovative modernization and ensure the availability, reliability, and performance of Scentsy's Data Analytics eco-system.

    This job worked at our home office in Meridian, ID.

    Please note:
    We are unable to provide H-1B visa work sponsorship for this position.


    What You Will Do:
    Serve as part of our Data Engineering and Analytics team, providing data analytics capabilities for various Scentsy Business partners and customers

    Influence and evangelize analytical methodologies to support business partner's needs

    Act as a technical lead for designing and implementing custom reports and dashboards

    Assess requirements and assist with developing data eco-system infrastructure

    Solve complex business problems through data analysis and providing data-driven solutions that help drive the business forward

    Interface with data analysts to define and implement data requirements to meet their analytic needs

    Participate in the design and build of conceptual, logical, and physical data models to support business analytics

    Recommend data strategies, ETL processes, and procedures for getting data in and out of the data warehouse and data lake

    Design, build, test, and maintain reliable pipelines to move and transform data accurately based on architectural standards

    Create cloud-based solutions and processes that enable data and information workers

    Ensure that the performance and cost of the data environment is optimized for the organization

    Cultivate cross-functional team and department collaborative relationships

    Design, develop, and maintain data processing in SQL Server/Snowflake

    Build required infrastructure for efficient extraction, transformation, and loading of data from various data sources using SQL technologies

    Work with collaborators, including data, design, and product teams, and assist them with data-related technical issues

    Support the data infrastructure needs of collaborators, including the Product, Data, and Design teams, while assisting with data-related technical issues

    Test reporting solutions and provide training

    Interact with technical resources from various teams within the IT department to define and test technical changes to the system

    Design and implement custom reports and dashboards

    Translate analytical program models, including but not limited to scripting, error handling, and documentation

    Work with users from various functional areas (sales, order processing, shipping, logistics, credit, finance, marketing, etc.)

    Analyze processes ensuring sustainability, supportability, and automation

    Identify new data from additional internal or 3rd party systems and transform it to work cohesively within existing data warehousing models

    Participate in evaluating new technologies to ensure data and technology architecture advancement within the organization's Data eco-system

    Identify development needs to improve and streamline business operations

    Provide stakeholders with quality data so the business can make sound, data-driven decisions, and recommendations

    Coach and mentor less experienced engineers

    Perform all other assigned tasks and requirements as needed


    We're Looking For:
    Bachelor's degree in business, Business Intelligence, Data Warehouse or data related field or equivalent related experience

    5 years of data warehouse/BI engineering/data engineering experience and/or 3 years of BI experience

    Experience in data access and delivery technologies, including familiarity with data quality assessment, data organization, metadata, and data profiling

    Ability to take complex, ambiguous problems, break them down into smaller parts, and problem solve to come up with a whole, integrated, and strategic solution

    Significant knowledge of and experience with best practices for data modeling, dimensional modeling (Star schema), data ingestion, queries, and data loading options

    Wide experience of cloud data technologies such as Snowflake and RedShift

    Significant experience with BI tools such as AWS QuickSight, Power BI, R, Python, SAP Business Objects and Web Intelligence (WEBI) reporting tools, and other visualization tools

    Significant experience with AWS Services like Cloud Formation, S3, Glue, State Machine, Lambda, Event Bridge, SNS and Appflow

    Ability to self-learn and lead teams into new technologies and engineering methods

    Ability to solve technical problems relevant to data engineering using programming languages (SQL and Python)

    Demonstrate the ability to solution with AWS services and provision infrastructure from code/template

    Excellent data manipulation and analysis skills

    Excellent skills in SQL, data modeling, data warehousing, data lake, and OLAP

    Excellent written and oral communication skills

    Experience in SSIS and SAP BODS

    Experience with SAP systems including table structure, field definitions, CDS views and usage, a plus

    Experience with git, a plus

    Experience with Redgate Flyway, a plus

    Familiarity with Agile Framework

    Advanced critical thinking, problem solving, and analytical skills
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