Sr. Data Engineer
About The Position
American Tire Distributors (ATD) is seeking a Senior Data Engineer to join their team. ATD is the nation's premier tire distributor with a coast-to-coast distribution network serving approximately 80,000 customers across the U.S. and Canada. The Senior Data Engineer will be responsible for identifying and analyzing trends in complex datasets, managing master data across various domains, and automating data management processes using data science skills. This role involves designing, developing, and maintaining ETL data pipelines, creating and implementing databases and data analytics strategies, and ensuring data quality and accuracy. The engineer will also discover process improvement opportunities, define data quality rules, and communicate findings to stakeholders. Collaboration with data architects and business stakeholders is key for defining data models and supporting Master Data Management solutions.
Requirements
- Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering, or related field and five (5) years of experience as a Data Engineer, Integration Engineer, or related field.
- Alternatively, Master’s degree, or foreign equivalent, in Computer Science, Computer Engineering, or related field and two (2) years of experience as a Data Engineer, Integration Engineer, or related field.
- Two (2) years of demonstrated experience with conducting benchmarking and market analysis using workflow modeling languages – Talend, Python, and SQL.
- Two (2) years of demonstrated experience designing data architectures, incorporating system/service requirements using Google Cloud Platform, Azure, Terraform, CI/CD pipelines, and DBT.
- Two (2) years of demonstrated experience using DBT, data models, database-design development, and SQL to perform business data modeling.
- Two (2) years of demonstrated experience delivering multi-mode communications using JIRA and Confluence for documentation and Microsoft Teams for communications.
- Two (2) years of demonstrated experience analyzing and researching customer and market conditions using BigQuery, Snowflake.
- Two (2) years of demonstrated experience designing, implementing, administering, maintaining, and managing databases using PostgreSQL, BigQuery, Snowflake, and MDM (Master Data Management).
- Two (2) years of demonstrated experience performing data collection and analysis using Talend, Python, SQL, and streaming services like Kafka or Google Pub/Sub.
- Two (2) years of demonstrated experience conducting business forecasting using DBT, Python, SQL, and BigQuery or Snowflake.
- Two (2) years of demonstrated experience validating and verifying data systems, processes, and workflows using CI/CD, DBT, JIRA, Confluence, Terraform, and Linux operating system to ensure correctness, efficiency, and security.
- Two (2) years of demonstrated experience performing gap analysis between current and future states using JIRA, Confluence, data models, MDM, and version-control tools such as GitHub or Bitbucket.
Responsibilities
- Identify, analyze, and interpret trends or patterns in complex datasets to uncover insights.
- Manage master data across multiple domains such as Customer, Product, Contact, Asset, and Finance.
- Utilize data science skills to automate data management processes and enhance efficiency.
- Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses or data lakes.
- Develop and implement databases, data collection systems, data analytics, and strategies to optimize statistical efficiency and data quality.
- Acquire, profile, and clean data in collaboration with data stewards to ensure accuracy and completeness.
- Discover and define new opportunities for process improvements based on data insights.
- Define and implement data quality rules and standards to maintain data integrity.
- Proactively analyze data to enhance quality across dimensions including accuracy, completeness, consistency, integrity, timeliness, conformity, and validity.
- Communicate findings and insights effectively to internal stakeholders and external partners through reports and presentations.
- Partner with data architects and business stakeholders to define and implement data models that directly support business requirements.
- Data modelling and segmentation to design database objects and maintain Master Data Management Solutions.
- Work on Data Architecture to support these solutions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
