F

Data Engineer

family dollar • United States
Relocation
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Family Dollar is seeking a Data Engineer to design and build scalable data engineering solutions on its cloud-based data platform. The role involves developing automated data pipelines, supporting data engineering workloads, and enhancing monitoring and observability in an agile environment. Candidates need a bachelor's degree, 3+ years of data engineering experience, strong SQL and Python skills, Linux experience, and hands-on GCP experience.

Key Highlights
Full-time onsite Data Engineer role at Family Dollar's Chesapeake, VA Store Support Center.
Design and build scalable cloud data pipelines and data engineering solutions.
Requires 3+ years of data engineering experience with strong SQL and Python skills.
Hands-on experience with Google Cloud Platform services is required.
Relocation assistance is available for qualified candidates outside Hampton Roads, VA.
Key Responsibilities
Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams to understand and address business challenges.
Analyze data from multiple sources and develop solutions to integrate data into the enterprise data ecosystem.
Design, build, and maintain automated data pipelines for ingestion and processing of structured and unstructured data using batch and streaming methods with cloud-native toolsets.
Work with diverse datasets and technologies to identify cross-system correlations, patterns, and data relationships.
Build, schedule, and monitor data pipeline orchestrations to ensure reliable data flow.
Implement automation strategies to optimize compute and storage utilization across the cloud data platform.
Develop and enhance end-to-end monitoring and observability capabilities for cloud-based data platforms.
Support knowledge sharing, cross-training, and onboarding activities within the team.
Provide clear and frequent updates to stakeholders regarding project progress, risks, and deliverables.
Participate actively in daily Scrum standups and contribute to continuous improvement in an agile development environment.
Stay current on emerging trends and technologies in data warehousing and analytics, particularly within the retail sector.
Technical Skills Required
Python SQL Google Cloud Platform
Benefits & Perks
Competitive salary range of $95,000 to $118,500 annually.
10% annual bonus opportunity based on performance.
Relocation assistance available for candidates outside the Hampton Roads, VA area.
Comprehensive health, dental, and vision insurance plans.
401(k) retirement savings plan with company match.
Paid time off and holiday benefits.
Opportunities for professional development and career growth.
Supportive and inclusive work environment.
Nice to Have
Preferred experience migrating data in various formats (JSON, delimited files, APIs, real-time feeds) into Google BigQuery.
Experience with data science workbenches or machine learning development environments and knowledge of data engineering aspects of ML pipelines.

Job Description

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