otonomo Published: June 19, 2020
Job Type
Level of education
High school
Level of Hebrew
Location of job
How many relevant years experience do you require for the role:
3 years


As a data company, Otonomo is always on the look-out for people that are excited and passionate about handling vast amounts of the virtually untouched world of car big data.

As Otonomo’s Data Architect, you will play an integral role in shaping the company’s core business and in designing and building our data pipelines and infrastructure, that will be used to deliver quality data for connected car apps and services emerging around the world.

- End to end ownership of our data platform architecture including design and development of data models and flows
- Analyzing requirements and setting the technological course for all data related initiatives
- Improvement and Re-design our data infrastructure for greater scalability
- Monitoring & maintaining production streaming and batch applications
- Research and integration of new Big Data tools, technologies and frameworks to extend capacity & effectiveness of teams & scalability of the product
- Mentoring data developers


- Proven work experience as a Data Architect
- Experience in building and optimizing big-data pipelines and architectures
- 3+ years Experience in Spark and other distributed data processing frameworks .
- Experience with big data solutions like Redshift, BigQuery, Hive, Presto, etc.
- Experience with relational databases such as PostgreSQL and MySQL and non-relational databases such as Redis, MongoDB and HBase
- Experience with Unix and cloud environments (AWS, Azure, GCP)
- Several years of hands-on experience in coding (preferably with Python) and backend frameworks
- BSc in Computer Science (or equivalent) – preferred higher educational background
- Independent, fast learner, motivated by a fast-paced, high-growth environment

- Experience in search engine systems such as Elasticsearch and Solr
- Experience in Stream processing frameworks such as Flink, Spark Streaming, Storm
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