Data Engineer

Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of ~450 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed.

Responsibilities

We are a team of technophiles who love big things that scale. As a developer in our team, you will need to:

Develop and maintain systems that process large amounts of data, including legacy systems and gradually re-write them.
Tackle software engineering challenges in multiple languages and frameworks, mainly in big data batch processing.
Own every product that the team manages, from ideation and planning, all the way to production and monitoring.
Teach and learn. We love to inspire and be inspired and make sure that each team member has their place to grow and excel.
Work both autonomously and collaboratively with the team and other Optimove teams.

Requirements

2 years of experience writing data-intensive applications in Python.
Fluent in writing SQL queries.
Experience working with Data Engineering frameworks such as Apache AirFlow, Apache Spark, Snowflake, DataBricks, Hadoop, Great Expectations, Monte Carlo, and Kafka.
Know the difference between processing CSV files and Parquet or Avro files.
Fluent in English.

Advantages

Hands-on data analysis experience
Understanding of the CI/CD processes and application deployments
Experience with cloud development.
Experience at least two software development language environments.
TDD Experience.