The Big Data Engineer's role at Indeed is to partner with teams around the company in order to help them map their business objectives to the Data Infrastructure group's offerings. This is a highly visible, advisory position aimed at driving platform consolidation and increased focus on additive and coordinated data solutions. The successful candidate will have a demonstrated track record of providing technical leadership across multiple large scale data projects simultaneously. The person in this role will split their time approximately 50-50 between hands on coding and consulting with data infrastructure customer teams.
Consult with product teams across Indeed to advise on data platform and data integration best practices
Partner with data infrastructure and product teams on the development of prototypes, as well as designs for future integrations.
Analyze existing solutions and requirements, perform cost/benefit and scalability analysis, and make recommendations for platform consolidation
Collect feedback on current data infrastructure gaps and opportunities for improvement and bring back to Data Infrastructure leadership for prioritization.
Provide documentation, training, and consulting for data infrastructure users
Provide input and feedback to support continuous improvement in team processes
Drive projects and coordinate cross-team efforts in an independent and self-directed way
10+ years in a Data Engineering or Data Platforms role
10+ years coding experience (java or python preferred)
8+ years hands on experience with AWS and big data technologies (Hadoop, Spark, Presto, Kafka, and similar)
Master's Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field
Expert level understanding of data lake fundamentals and building efficient data pipelines
Strong communication, collaboration, and multi-tasking abilities
Experience with Agile methodologies