Senior Data Engineer
2 weeks ago
At Crash Champions, We Believe the Difference is Trust. Crash Champions is the one of the fastest growing and most exciting brands in the collision repair industry. The company is the largest founder-led multi-shop operator (MSO) of high-quality collision repair service in the U.S., serving customers and business partners at more than 600 state-of-the-art repair centers in 36 states across the U.S. Crash Champions was founded in 1999 as a single Chicago repair center by industry veteran and 2022 MSO Executive of the Year, Matt Ebert. For more information, and to locate a local repair center, visit (url removed).
Responsibilities:
Crash Champions is seeking a Senior Database Engineer to join our IT Data Analytics team which supports Data and Reporting initiatives across the organization. The primary responsibility of this role is to design, implement, and support reporting and our data warehouse solutions. The candidate must have strong experience using Microsoft Fabric and Microsoft SQL Server with an emphasis in T-SQL and SSIS development. As a member of our Data Analytics team, the role will be to work closely with our Data Architect and IT Director and business stakeholders across the organization.
Responsible for working with business leaderships and IT Data Analytics team to gather business requirements, use cases, technical design, and implement solutions for data analysis, reporting, and data interfaces
Works in cross-functional team environment and has a strong track record to communicating insights and technical solutions to business functional leaders
SQL performance tuning and optimization
Build technical/data architecture for ODS/DW using Kimball methodology
Develop and test SSIS ETL packages using SSDT
Managing Timelines and task priorities utilizing Agile Scrum methodology
Create complex queries, data transformation, aggregation, stored procedures, and triggers.
Implement and administer SQL Server Master Data Management Services.
Perform unit, system, and integration testing of all developed code and DB objects.
Fully support the documentation of the data integration solutions, provide data dictionaries, Data Flow/Process Flow diagrams and update runbooks.
Automate DB deployments using DevOps Pipelines
Qualifications:
Experience with Microsoft Fabric and SQL Server
Experience with Azure SQL Server, Data Warehouse, and Azure Data Factory, Azure Synapse a plus
Bachelor’s Degree in Management Systems, Engineering, Mathematics, Economics, Computer Science or related field with 7+ years of daily experience with Microsoft SQL Server administration and development
Knowledge and experience implementing ETL design patterns for data warehousing including Kimball methodology
Experience working with different source data such as SQL Server, Excel, Access, Flat Files, On-Prem, Cloud, APIs, RESTful API calls within SSIS/ETL , and many more
Demonstrate understanding of error handling techniques in MS SQL code and Microsoft SSIS solutions.
Strong analytical ability, problem-solving, and critical thinking skills
Strong attention to detail and data validation and in documentation of methods, procedures, standards
Excellent communication and presentation skills to effectively collaborate with multiple business functions across our organization; and works effectively in a team environment
Full lifecycle development (SDLC) skills using Azure DevOps, GIT, and SmartSheet to work and roadmap in a fast paced, dynamic environment with changing deadlines and requirements
TECHNOLOGIES
Microsoft SQL Server 2012+
JSON/XML
T-SQL
Master Data Services
MS BI Stack (SSRS, SSIS, SSAS)
Power BI preferred but not required
Snowflake, Microsoft Azure SQL Server, Data Warehouse and Data Factory
TFS/VSTS/GIT Source Control
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