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PRINCIPAL DATA ENGINEER

Dollar General Corp

  • Nashville, TN
  • 2 days ago

    Highlights

    by offering products that are frequently used and replenished, such as food, snacks, health and beauty aids, cleaning supplies, basic apparel, housewares and seasonal items at everyday low prices in convenient neighborhood locations. The Principal Data Engineer supports software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery and architecture.

    Numbers & Facts

    LocationNashville, TN
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1939
    Websitehttp://www.dollargeneral.com/

    Description

    A Principal Data Engineer is responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. This role involves building and optimizing data systems from the ground up, ensuring that data delivery architecture is consistent throughout ongoing projects. The Principal Data Engineer supports software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery and architecture. This position requires expertise in data pipeline building and data wrangling, with a focus on enhancing data systems for improved efficiency and performance.

    Job Responsibility

    • Develop, construct, test, and maintain data architectures: responsible for creating and maintaining optimal data pipeline architectures necessary for the organization's operational efficiency. (65%)
    • Collaborate with data scientists and other stakeholders: expected to collaborate with data scientists, business analysts, IT professionals, and management to assist with data-related technical issues and support their data infrastructure needs. (10%)
    • Assemble and prepare large, complex data sets to meet functional business requirements: required to work with different teams to understand their data needs and ensure those needs are met. (10%)
    • Build analytics tools: This will involve developing tools that utilize the data pipeline to provide actionable insights into key business performance metrics. (5%)
    • Maintain data security and compliance: ensure systems meet industry practices and business requirements for data privacy and protection. (5%)
    • Identify, design, and implement internal process improvements: This includes optimizing data delivery, automating manual processes, and re-designing infrastructure for greater scalability. (3%)
    • Keep up-to-date with the latest technology trends: Continually learn and adapt to new technologies that could improve existing systems. (2%)

    Job Qualifications

    • Hands on experience with programming languages (e.g. Python, SQL, GoLang)
    • Knowledge with SQL database design concepts and Data Models
    • Great numerical and analytical skills
    • Degree in Computer Science, IT, or similar field; a Master's is a plus
    • Data engineering certification (e.g., Cloud Engineer, Data Engineer) is a plus
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases, including MongoDG, Postgres and/or Cassandra.
    • Experience with data pipeline and workflow management tools: Airflow, Dataflow, Composer, etc.
    • Experience with GCP, Snowflake, Azure cloud services: BQ, Dataflow, Redshift
    • Experience with stream-processing systems: Kafka, Spark-Streaming, etc.
    • Good knowledge of software engineering principles, methodologies, and current best practices.
    • Able to multitask and shift priorities as needed.
    • Able to use BI Tools for data analysis and data QA.

    Education/Experience

    • 9+ years experience and a degree in information technology or computer science with additional vendor-specific certification.
    • BS or MS degree in Computer Science or a related technical field
    • 4+ years of Python or Java development experience
    • 4+ years of SQL experience (No-SQL experience is a plus)
    • 4+ years of experience with schema design and dimensional data modeling
    • Ability in managing and communicating data warehouse plans to internal clients
    • Experience designing, building, and maintaining data processing systems
    • Experience working with a cloud platform such as Snowflake / Azure or Databricks

    Work Where You Matter

    At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive.

    Company Overview

    Dollar General Corporation has been delivering value to shoppers for more than 80 years. Dollar General helps shoppers Save time. Save money. Every day. by offering products that are frequently used and replenished, such as food, snacks, health and beauty aids, cleaning supplies, basic apparel, housewares and seasonal items at everyday low prices in convenient neighborhood locations. Learn more about Dollar General at www.dollargeneral.com/about-us.html.

    About Company

    Goodlettsville, Tenn.-based Dollar General Corporation is the nation's largest small-box discount retailer. We make shopping for everyday needs simpler and hassle-free by offering a carefully edited assortment of the most popular brands at low everyday prices in small, convenient locations. Dollar General ranks among the largest retailers of top-quality brands made by America's most-trusted manufacturers, such as Procter & Gamble, Kimberly Clark, Unilever, Kellogg's, General Mills and Nabisco. With more than $18 Billion in sales, Dollar General has over 12,000 stores in 43 states and 12 distribution centers.

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