APCO Holdings
Technology
SeniorDataDeveloper
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Developer at APCO Holdings. Skills: Data integration, ETL pipelines, Data modeling, Data warehousing. Design data integration solutions. Develop data integration solutions”
What You'll Achieve.
Deliver effective enterprise-wide data solutions; Deliver high-quality data-driven solutions; Enable informed business decisions
Industry & Context.
Analytical skills; Problem-solving skills
What They're Looking For.
Must Have
5+ years of experience as an ETL Developer, Data Engineer, Database Developer, or similar role, Experience with SQL Server, SSIS, and Azure Data Factory, Proficiency in SQL, including query writing, optimization, and data manipulation, Experience with data modeling, dimensional modeling, and data warehousing principles, Hands-on experience building and maintaining ETL pipelines
Nice to Have
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, Experience with OLAP, MDX, and multidimensional data models, Familiarity with programming languages such as Python, Java, or .NET, Experience with cloud data platforms (e.g., Azure SQL, AWS RDS), Knowledge of database security, backup, and recovery strategies, Experience creating semantic models or datasets for reporting tools like Power BI
What You'll Do.
Design data integration solutions
Develop data integration solutions
Maintain data integration solutions
Build scalable ETL pipelines
Build reliable ETL pipelines
Lead data modeling efforts
Design logical data models
Implement physical database structures
Develop operational data stores
Manage operational data stores
Develop enterprise data models
Gather data requirements
Translate business needs into technical solutions
Integrate data from multiple sources
Perform data transformation
Perform data cleansing
Perform data validation
Perform data aggregation
Monitor ETL performance
Monitor data workflows
Optimize ETL performance
Optimize data workflows
Troubleshoot ETL performance
Troubleshoot data workflows
Deploy production data processes
Schedule production data processes
Maintain production data processes
Ensure data availability
Implement access controls
Implement backup strategies
How You'll Work.
Team & Collaboration
Collaborate with business stakeholders; Collaborate with cross-functional teams
Communication Scope
Explain complex concepts
Full Job Description
## Description APCO Holdings partners with dealerships across North America to deliver innovative vehicle protection products and services that enhance the ownership experience for customers and drive growth for our partners. Through our family of brands, we bring together industry expertise, technology, and data-driven insights to help dealers strengthen their finance and insurance performance and build lasting relationships with their customers. Our teams work collaboratively across operations, technology, risk, finance, marketing, and sales to deliver solutions that create measurable value and support the continued growth of APCO and the partners we serve. We’re looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You’ll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data to deliver effective, enterprise-wide data solutions. ## What You'll Do Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory, and related tools Build scalable, reliable ETL pipelines to support enterprise business intelligence and analytics Lead the design of logical data models and implement optimized physical database structures Develop and manage operational data stores, data marts, and enterprise data models Collaborate with business stakeholders to gather data requirements and translate them into technical solutionsIntegrate data from multiple sources including databases, APIs, and flat files Perform data transformation, cleansing, validation, and aggregation to ensure high data quality Monitor, optimize, and troubleshoot ETL performance and data workflows Deploy, schedule, and maintain production data processes with proper documentation and controls Ensure data accuracy, security, and availability through governance, acc
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