Senior 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 ~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.

Responsibilities

• Deploy and maintain critical data pipelines in production.
• Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
• Design infrastructural data services, coordinating with the Architecture team, R&D teams, Data Scientists, and product managers to build scalable data solutions.
• Work in Agile process with Product Managers and other tech teams.
• End-to-end responsibility for the development of data crunching and manipulation processes within the Optimove product.
• Design and implement data pipelines and data marts.
• Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the Optimove product.
• Explore and implement new data technologies to support Optimove’s data infrastructure.
• Work closely with the core data science team to implement and maintain ML features and tools.

Requirements

• B.Sc. in Computer Science or equivalent.
• 7+ years of extensive SQL experience (preferably working in a production environment)
• Experience with programming languages (preferably, Python) – a must!
• Experience with \”Big Data\” environments, tools, and data modeling (preferably in a production environment).
• Strong capability in schema design and data modeling.
• Understanding of micro-services architecture.
• Familiarity with Airflow, ETL tools, Snowflake, and MSSQL.
• Quick, self-learning and good problem-solving capabilities.
• Good communication skills and collaborative.
• Process and detailed oriented.
• Passion to solve complex data problems.
• Experience with GCP services.
• Experience with Docker and Kubernetes.
• Experience with PubSub/Kafka.

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