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 .
Job Details
General Summary :
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.
Dollar General operates more than 18,000 stores in 47 states, and we’re still growing. Learn more about Dollar General at .
Duties & Responsibilities :
- 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 customer acquisition, 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.
Qualifications
Knowledge, Skills and Abilities :
- Knowledge of programming languages (. Java and Python)
- Hands-on experience with SQL database design
- Great numerical and analytical skills
- Degree in Computer Science, IT, or similar field; a Master’s is a plus
- Data engineering certification ( IBM Certified Data Engineer) is a plus
- Experience with big data tools : Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools : Azkaban, Luigi, Airflow, etc.
- Experience with Snowflake / Azure cloud services : EC2, EMR, RDS, Redshift
- Experience with stream-processing systems : Storm, Spark-Streaming, etc.
- Experience with object-oriented / object function scripting languages : Python, Java, C++, Scala, etc
Work Experience & / or Education :
- 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
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