ETL Developer

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 ~500 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.

As an ETL Developer, you will be a part of a strong, energetic, and fast-growing global team. You will be an integral part of clients' onboarding data ETL processes, as well as ongoing requests and projects. You will be working closely with internal Data Engineer teams as well as interacting directly with clients' data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech, etc). The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease.
The ETL Developer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of tech.

Responsibilities:
Graduate with a degree in Industrial Engineering and Management, or a similar major.
Develop and support a wide range of data transformations and migrations.
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures.
Develop and support a wide range of data transformations and migrations.
Investigate data mismatches and apply solutions.
Work side by side and support the Data Engineer and Customer Success teams in order to meet customer business needs.
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution.
Analyze datasets and gain an understanding of different business verticals and their content.
Requirements:
Familiarity with databases and SQL.
Outstanding technical and analytical skills.
Highly motivated with an exceptional work ethic.
High attention to detail with an ability to work on multiple projects simultaneously.
Strong interpersonal and communication skills.
Quick, self-learning capabilities and creativity in problem-solving.
Preferred:
Familiarity with Python.
Familiarity with Airflow, ETL tools, Snowflake, and MSSQL.