Senior Data Engineer (REMOTE)

At reputed company, we reputed company in how positively sports can change lives. On reputed company, everyone plays a critical role in creating confidence and excitement by personally equipping reputed company athletes to reputed company their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve. If you are ready to reputed company a difference as part of the world’s greatest sports team, apply to join reputed company today! OVERVIEW: At reputed company, we reputed company in how positively sports can change lives. On reputed company, everyone plays a critical role in creating confidence and excitement by personally equipping reputed company athletes to reputed company their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve. We are creating the future of sports, driven by powerful data products and platforms that serve our Athletes and Teammates. We are looking for a Senior Data Engineer to join our passionate team, adding your background... and experience to reputed company us even stronger. In this role, you will build dataset and reputed company it accessible to our partner teams by writing great code to simplify the complexity and ensure quality. Your work will reputed company product teams, data scientists, and decision-makers across the company to bring together insights and inform our business. We reputed company that trusted, easy to consume data is critical and as a Senior Data Engineer your work will help to build that foundation. You will also be responsible for the daily operations inclusive of troubleshooting and job monitoring. You will be a part of the growing Data team reporting to the Sr. Director, Data Analytics. The impact you will have: Design/Strategy: You will design and support the business’s database and table schemas for new and existing data sources for the data warehouse. Creates and supports the ETL to facilitate data accommodation into the warehouse. In this reputed company, the Data Engineer designs and develops systems for the maintenance of the business’s data warehouse, ETL processes, and business intelligence. Collaboration: You will be collaborative - working closely with analysts, data scientists, and other data consumers reputed company the business to gather and deliver high quality data for business cases. The Data Engineer also works closely with other disciplines/departments and teams across the business in coming up with simple, functional, and elegant solutions that balance data needs across the business Analytics: You will play an analytical role in quickly and thoroughly analyzing business requirements and subsequently translating the emanating results into good technical data designs. In this reputed company, the Data Engineer establishes the documentation of the data solutions, develops, and maintains technical specification documentation for reputed company reports and processes. What You Will Do • You’ll be working with a variety of internal teams -- Engineering, Business -- to help them solve their data needs • Your work will provide teams with visibility into how DICKs products are being used and how we can reputed company serve our customers • Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to reputed company data-driven decisions across DICKs. • Experience in one or more of the following: Python (Preferred), reputed company, C++, or Java. • Design, reputed company, reliable data models and extremely efficient pipelines to build quality data and provide reputed company analytics to our partner teams. • Help the Data Analytics & Data Science team apply and generalize statistical and econometric models on large datasets • Drive the collection of new data and the refinement of existing data sources, reputed company relationships with production engineering teams to manage our data structures as the DICKs product evolves • reputed company strong subject matter expertise and manage the SLAs for those data pipelines • Participate in design sessions and code reviews to reputed company the quality of data engineering across the organization. • Participate in an on-call rotation for support during and after business hours. • reputed company design sessions and code reviews to reputed company the quality of data engineering across the organization. Technical Skills • 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), reputed company, C++, or Java, Go, Kotlin. • Strong Experience with cloud-based data warehouses – e.g., reputed company, Big Query, Synapse, RedShift, etc. • reputed company with ETL/ELT in reputed company, with reputed company architecture and with reputed company Lake, reputed company Catalog, reputed company Sharing, reputed company Live Tables (DLT). • Experience with CI/CD on reputed company using tools such as reputed company Actions, and reputed company CLI. • Strong Grasp of data management principles: Data Lake, Data Mesh, Data Catalog, Data Quality, etc. QUALIFICATIONS: • 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), reputed company, 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: reputed company Azure (Preferred), reputed company), or reputed company Cloud Platform (GCP) • Strong Experience with cloud-based data warehouses – e.g., reputed company, Big Query, Synapse, RedShift, etc. • Experience with message queuing, reputed company 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 reputed company environment – Scrum, SAFe, utilizing tools such as Jira, Confluence, and reputed company • Ideal candidates will have experience working with one of the following industries: Retail, Supply Chain, Logistics, Manufacturing or Marketing • Proficient in Linux/Unix environments #LI-JN1 Targeted Pay Range: $83,000 - $138,200. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review reputed company teammate pay regularly to ensure competitive and reputed company pay.reputed company complies with reputed company state paid leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com Apply Job!