Senior Data Engineer

Global marketing tech company recognized as a Leader by Forrester and a Challenger by Gartner, working with brands like Sephora, Staples, and Entain.
Data
Senior Software Engineer
Hybrid
101 - 500 Employees
7+ years of experience
Enterprise SaaS

Description For Senior Data Engineer

Optimove, a leading global marketing tech company recognized by Forrester and Gartner, is seeking a Senior Data Engineer to join their growing team of 450+ professionals across NYC, London, and Tel Aviv. This role is central to the Tech Organization, specifically within the Data Engineering team, which is driving the company's cloud migration initiatives.

As a Senior Data Engineer, you'll be at the forefront of designing and implementing critical data infrastructure and architecture. The role combines technical expertise with collaborative skills, requiring interaction with Product Managers, Data Scientists, and various engineering teams. You'll be responsible for building robust data pipelines, implementing scalable solutions, and driving strategic technological initiatives from conception to production.

The ideal candidate brings 7+ years of SQL expertise, strong Python programming skills, and extensive experience with Big Data environments. You'll work in an environment that values internal growth, with two-thirds of managers promoted from within, ensuring strong career development opportunities.

Key technical aspects include working with modern data technologies, microservices architecture, and cloud platforms. You'll be involved in everything from data modeling to ML feature implementation, making this role perfect for someone who enjoys solving complex data challenges while working with cutting-edge technologies.

Join a company that combines the stability of an established business with the energy of a startup, working with prestigious clients like Sephora and Staples. This role offers the opportunity to make a significant impact on the company's data infrastructure while growing your career in a supportive, dynamic environment.

Last updated a month ago

Responsibilities For Senior Data Engineer

  • Deploy and maintain critical data pipelines in production
  • Drive strategic technological initiatives and long-term plans from POC to production
  • Design infrastructural data services and build scalable data solutions
  • Work in Agile process with Product Managers and other tech teams
  • Develop data crunching and manipulation processes
  • Design and implement data pipelines and data marts
  • Create data tools for various teams
  • Explore and implement new data technologies
  • Work with core data science team to implement and maintain ML features and tools

Requirements For Senior Data Engineer

Python
Kubernetes
Kafka
  • B.Sc. in Computer Science or equivalent
  • 7+ years of extensive SQL experience
  • Experience with programming languages (Python)
  • Experience with Big Data environments, tools, and data modeling
  • Strong capability in schema design and data modeling
  • Understanding of micro-services architecture
  • Quick, self-learning and good problem-solving capabilities
  • Good communication skills and collaborative
  • Process and detailed oriented
  • Passion to solve complex data problems

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