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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.
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.
Duties & Responsibilities: What major responsibilities does this position have and what percentage of time is spent on completing them? (Typically 5 – 7)
• 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.
Knowledge, Skills and Abilities (KSAs): What KSAs are required to perform this job?
• Knowledge of programming languages (e.g. 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 (e.g 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: What are the minimum education and/or experience requirements necessary to perform this job?
• 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
Full Time
Retail
$111k-137k (estimate)
02/11/2023
04/29/2025
dollargeneral.com
MARION, IA
>50,000
1939
Public
PAULA NELSON
$10B - $50B
Retail
Dollar General is an online marketplace for apparels, household, cleaning, health, beauty and baby products.
The job skills required for DATA ENGINEER include SQL, Python, Data Engineering, Big Data, Data Warehouse, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a DATA ENGINEER. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by DATA ENGINEER. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for DATA ENGINEER positions, which can be used as a reference in future career path planning. As a DATA ENGINEER, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary DATA ENGINEER. You can explore the career advancement for a DATA ENGINEER below and select your interested title to get hiring information.
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The data engineer develops and maintains the enterprise data framework for continued use.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
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