Senior Data Engineer

4 days ago

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DICK'S Sporting Goods

WebsiteLinkedInAll Job Openings

Retail • Merchandising • Technology • Product Development • Athletics

10,000+ employees

Founded 1948

🛒 Retail

⚽ Sports

🛍️ eCommerce

Description

• We are creating the future of sports, driven by powerful data products and platforms that serve our Athletes and Teammates. • As a Senior Data Engineer, you will build datasets and make them accessible to our partner teams. • Your work will enable product teams, data scientists, and decision-makers across the company to bring together insights and inform our business. • You will be responsible for troubleshooting and job monitoring. • You will design and support the business’s database and table schemas for new and existing data sources for the data warehouse. • You will work closely with analysts, data scientists, and other data consumers to gather and deliver high quality data.

Requirements

• 5 + years of experience in Data Warehousing and development using data technologies such as Relational & NoSQL databases, open data formats, building data pipelines (ETL and ELT) with batch or streaming ingestion, loading and transforming data. • Expert in SQL and/or SQL based languages and performance tuning of SQL queries • Strong understanding of Normalized/Dimensional model disciplines and similar data warehousing techniques. • Experience in one or more of the programming languages are required: Python (Preferred), Scala, C++, or Java, Go, Kotlin. • Strong experience working with ETL/ELT concepts of data integration, consolidation, enrichment, and aggregation in petabyte scale data sets. • Experience with at least one of the following cloud platforms: Microsoft Azure (Preferred), Amazon Web Services (AWS), or Google Cloud Platform (GCP) • Strong Experience with cloud-based data warehouses – e.g., Snowflake, Big Query, Synapse, RedShift, etc. • Experience with message queuing, stream processing (Kafka, Flink, Spark Streams) • Strong Grasp of data management principles: Data Lake, Data Mesh, Data Catalog, Master Data, Data Quality, etc. • Experience in BI tooling such as Qlik, MicroStrategy, Tableau, PowerBI or Looker • Experience with orchestration tools (Control-M, Airflow etc.) • Strong communication skills across different mediums to craft compelling messages to drive action and alignment. • Comfort with agile delivery methodologies in a fast-paced complex environment – Scrum, SAFe , utilizing tools such as Jira, Confluence, and GitHub • Ideal candidates will have experience working with one of the following industries: Retail, Supply Chain, Logistics, Manufacturing or Marketing • Proficient in Linux/Unix environments