Staff Data Engineer

Key Skills

Amazon RedShift, Apache Cassandra, Apache Hadoop, AWS, Azure, Big Data Technology, Cloud computing, Data Architecture, ETL frameworks, ETL/ELT technologies, MapReduce, NoSQL, Spark Core, SQL, Statistical modeling

Job Description

Alert Innovation, now powered by Walmart, is a fast-growing venture on a mission to reinvent retail through robotics. We’ve partnered with Walmart to develop our Alphabot® technology, which is currently being deployed at stores throughout North America.

Alert Innovation is looking for a Staff Data Engineer to join our rapidly growing organization. The ideal candidate is able to wear multiple hats, with a primary focus on defining and building the data analysis for a newly-formed Data Intelligence team, while also providing input and guidance to our data engineering teams on data infrastructure and security.

The Data Engineering team is responsible for the ingest, structure, and model of our product data to support critical decision making through analytic services. As an initial member of this team, you will play a key role in defining and developing this solution, as well as shaping the team itself!

WHAT YOU'LL WORK ON: 

• Research, recommend, design and develop our data strategy to support Alert’s need for advanced analytics and product metrics.
• Ensure system, technical and product architectures are aligned with business objectives.
• Stay informed on initiatives across the industry and the enterprise to help product and engineering leadership effectively prioritize.
• Communicate effectively and convey complex ideas to a diverse set of audiences.
• Work with Product teams to ensure effective data pipelines.
• Provide guidance and direction on architecture standards and technologies for enabling systems performance qualities for service reliability, availability, scalability, security, and supportability.
• Evaluate current data infrastructure and recommend migrations, architectural optimizations, and new solutions to support present and future product.

WHAT WE'RE LOOKING FOR:

• 6+ years demonstrating a high degree of proficiency and experience with data and statistical modeling
• Proven success in a data engineering, architecting data warehouses and/or data lakes with big data technologies such as Hadoop, MapReduce, RedShift, Spark and ETLs.
• Direct experience establishing Data Architecture best practices, deliverables and frameworks, with a proven track record of designing highly scalable and secure data systems.
• Experience with one or more cloud-based platforms such as AWS, Azure, and Google Cloud for data systems; Azure experience is a big plus.
• Experience migrating data from on-premises to cloud.
• Expertise in a variety of database technologies, both SQL and NoSQL systems. Cassandra experience a plus.
• Experience in defining and documenting new architectures and proven ability to gain consensus across teams from an architectural standpoint.
• BS in Computer Science or similar; advanced degrees a plus.