JOB DESCRIPTION
What you will do
- Build data pipelines that collect and transform data to support ML models, analysis and reporting.
- Work in a high volume production environment making data standardized and reusable, from architecture to production.
- Work with off-the-shelf tools including DynamoDb, SQS, S3, RedShift, Snowflake, Mysql but often push them past their limits.
- Work with an international multidisciplinary team of data engineers, data scientists and data analysts.
Who you are:
- At least 5+ years of experience in data engineering / software engineering in the big data domain.
- At least 5+ years of coding experience with Python or equivalent.
- SQL expertise, working with various databases (relational and NoSQL), data warehouses, external data sources and AWS cloud services.
- Experience in building and optimizing data pipelines, architecture and data sets.
- Experience with ML pipelines and MLOps tools.
- Familiarity with data engineering tech stack - ETL tools, orchestration tools, micro-services, K8, lambdas.
- End to end experience - owning features from an idea stage, through design, architecture, coding, integration and deployment stages.
- Experience working with cloud services such as AWS, Azure, Google Cloud.
- B.Sc. in computer science or equivalent STEM.
Salary
Competitive
Monthly based
Location
Tel Aviv, Tel-Aviv District, Israel
Job Overview
Location
Tel Aviv, Tel-Aviv District, Israel
