American Tire Distributors, Inc.

Sr. Data Engineer

American Tire Distributors, Inc.$155K — $165K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or related field and five years of experience in a relevant role, or a Master’s degree and two years of experience.
  • Proficiency in conducting benchmarking and market analysis using Talend, Python, and SQL.
  • Experience designing data architectures on Google Cloud Platform, Azure, Terraform, and utilizing CI/CD pipelines.
  • Strong skills in data modeling and using DBT for business data modeling.
  • Familiarity with database management technologies like PostgreSQL, BigQuery, and Snowflake.

Responsibilities

  • Identify and interpret complex data trends to derive insights.
  • Manage and oversee master data across various domains including Customer and Product.
  • Automate data management processes using data science techniques.
  • Design and maintain data pipelines for efficient ETL operations.
  • Develop databases and data collection systems to enhance data quality and efficiency.
  • Collaborate with data stewards to ensure data accuracy and completeness.
  • Communicate analytical findings effectively to stakeholders.

Benefits

  • 100% telecommuting option available from any location in the U.S.
Full Job Description
COMPANY: Asphalt Buyer II, LLC d/b/a American Tire Distributors POSITION: Senior Data Engineer LOCATION: 12200 Herbert Wayne Court, Suite 150, Huntersville, NC 28078 JOB DUTIES: 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. 100% telecommuting allowed from any location in the U.S. REQUIREMENTS: Bachelor’s degree, or foreign equivalent, Computer Science, Computer Engineering, or related field and five (5) years of experience as a Data Engineer, Integration Engineer, or related field. ALTERNITAVELY, Master’s degree, or foreign equivalent, Computer Science, Computer Engineering, or related field and two (2) years of experience as a Data Engineer, Integration Engineer, or related field. Must possess two (2) years of demonstrated experience with the following skills: • Conducting benchmarking and market analysis using workflow modeling languages – Talend, Python, and SQL. • Designing data architectures, incorporating system/service requirements using Google Cloud Platform, Azure, Terraform, CI/CD pipelines, and DBT. • Using DBT, data models, database-design development, and SQL to perform business data modeling. • Delivering multi-mode communications using JIRA and Confluence for documentation and Microsoft Teams for communications. • Analyzing and researching customer and market conditions using BigQuery, Snowflake. • Designing, implementing, administering, maintaining, and managing databases using PostgreSQL, BigQuery, Snowflake, and MDM (Master Data Management). • Performing data collection and analysis using Talend, Python, SQL, and streaming services like Kafka or Google Pub/Sub. • Conducting business forecasting using DBT, Python, SQL, and BigQuery or Snowflake. • 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. • Performing gap analysis between current and future states using JIRA, Confluence, data models, MDM, and version-control tools such as GitHub or Bitbucket. OFFERED WAGE: $155,645 – $165,645/year CONTACT: Please visit https://atd.wd1.myworkdayjobs.com/American_Tire_Distributors and keyword search Job code #000001 to apply.

About American Tire Distributors, Inc.

American Tire Distributors, Inc. is a tire distributor headquartered in Huntersville, North Carolina. The company was founded in 1935 and has grown to become one of the largest tire distributors in the United States. American Tire Distributors, Inc. offers a wide range of tire brands and services to customers across the country. The company has a strong commitment to customer service and has been recognized for its excellence in this area. American Tire Distributors, Inc. is also committed to sustainability and has implemented a number of initiatives to reduce its environmental impact.
Learn more about American Tire Distributors, Inc.
Size
5,000 employees
Industry
Net Income
-$214 million
5 Year Trend
-5%
Revenue
$3.9 billion
NASDAQ

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