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

The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This role will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

Job Details

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud technologies.Build analytics tools that utilize the data pipelines to provide actionable insights into operational efficiency and other key business performance metrics.Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Knowledge of programming languages (e.g. Python, Java, C#)Hands-on experience with SQL database designGreat numerical and analytical skillsDegree in Computer Science, IT, or similar field; a Master’s is a plusData engineering certification (e.g Certified Data Engineer) is a plusExperience with big data tools: Hadoop, Spark, Kafka, etc.Experience with relational SQL and NoSQL databases, including Mongo DB, Postgres and Cassandra.Experience with data pipeline and workflow management tools: Composer, Dataflow, Airflow, etc.Experience with Snowflake/Azure or GCP cloud services: GCE, GCS, EMR, RDS, Redshift, etc.Experience with stream-processing systems: Google Cloud Dataflow, Apache Storm, Spark-Streaming, etc.
Qualifications

Degree in information technology or computer scienceBS or MS degree in Computer Science or a related technical field4+ years of Python or Java development experience4+ years of SQL experience (No-SQL experience is a plus)4+ years of experience with schema design and dimensional data modeling