The point where experts and best companies meet
Share
This role requires an individual with excellent problem-solving skills, expertise in working with streaming data, deep knowledge of data pipeline engineering using AWS data technologies, a strong understanding of business intelligence solutions, and familiarity with how machine learning models work.
implementing deployment dependencies for ML models, including feature engineering, model hosting, and integration mechanisms.Key job responsibilities
- Build the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems- Help drive the architecture and technology choices that enable a world-class user experience
- Manage AWS resources
- Uphold Operational Excellence best practices in Data Engineering and actively contribute to evolve set standards.
- Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions
A day in the lifeAs a Data Engineer, you will have the unique opportunity to architect a robust, scalable data ecosystem using the latest AWS technologies. Leverage agile methodologies to create sustainable, innovative solutions that will drive business growth and deliver real-time insights to decision-makers.
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Bachelor's degree
- 5+ years of data engineering experience
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with data modeling, warehousing and building ETL pipelines
These jobs might be a good fit