Data Engineer: Build Scalable Data Pipelines & Insights

Dollar General Corporation; Goodlettsville (TN); On-site; USD 90,000 - 120,000; Full time

Job summary

Dollar General Corporation in Goodlettsville, TN is seeking a Data Engineer to enhance data infrastructure and processes. Candidates should have strong SQL skills and familiarity with programming languages like Java and Python. A degree in Computer Science or a related field is necessary.

Responsibilities include building data pipelines and analytics tools while improving existing processes. Ideal candidates will have experience with both relational SQL and NoSQL databases as well as cloud platforms like Snowflake or Azure.

Qualifications

• Degree in information technology or computer science with additional vendor-specific certification.
• 4+ years of experience in Python or Java development.
• 4+ years of SQL experience.
• Experience with schema design and dimensional data modeling.

Responsibilities

• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Identify, design, and implement internal process improvements.
• Build analytics tools that utilize data pipelines for actionable insights.

Skills

Intermediate SQL skills

Programming languages: Java and Python

Data analysis and numerical skills

Experience with big data tools: Hadoop, Spark

Experience with relational SQL and NoSQL databases

Education

BS or MS degree in Computer Science

Data engineering certification

Tools

Snowflake/Azure cloud services

Data pipeline tools: Airflow, Azkaban

Job description

Dollar General Corporation in Goodlettsville, TN is seeking a Data Engineer to enhance data infrastructure and processes. Candidates should have strong SQL skills and familiarity with programming languages like Java and Python. A degree in Computer Science or a related field is necessary.

Responsibilities include building data pipelines and analytics tools while improving existing processes. Ideal candidates will have experience with both relational SQL and NoSQL databases as well as cloud platforms like Snowflake or Azure.