- Design and implement understandable data models that support flexible querying and data visualization
- Instrument algorithms and machine learning pipelines from complex business requirements
- Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing it
- Guide the Analytics Engineering roadmap, communicate timelines, and manage development cycles/sprints to deliver value
- Own the creation and support of internal data architecture and governance standards and best practices
- Lead the selection, implementation, optimization, and integration of data tools
- Rapidly deliver on concepts through prototypes that can be presented for feedback
- Train fellow employees on best practices for data standards, DAGs, code, documentation and visualization and help others act as successful stewards of our internal tools
- Bachelor's degree in quantitative field of study (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.) from a top-tier institution
- 3-4+ years of relevant experience in data engineering
- Expertise in writing SQL and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases
- Experience with big-data technologies (e.g. Spark, Kafka, Hive)
- Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records
- Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats
- Proficiency with Git (or similar version control) and CI/CD best practices
- Experience in managing workflows using Agile practices
- Ability to write clear, concise documentation, and to communicate generally with a high degree of precision
- Ability to solve ambiguous problems independently
- Ability to manage multiple projects and time constraints simultaneously
- MS or greater in quantitative field of study (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.) from a top-tier institution
- Ability to build reports and dashboards with BI tools (such as Tableau or Looker)
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Senior Analytics Engineer - Santa Monica, United States - Bird
Description
Responsibilities
:Must Haves:
Highly Desired:
Culture at Bird
We're an ambitious, smart, and open-minded group. Our employees are passionate about our mission, and eager to complete their work at the highest level. The office itself is up tempo and supportive, because we care about each other. People first, people.
Perks up
We want people to succeed at Bird, so we give our teams plenty of time off to relax and recharge. We also offer a generous employer-paid healthcare coverage, on-demand doctor visits, childcare support, a pre-tax commuter account for mass transit or parking, a wellness stipend, and more.
