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Data Engineer

Nanit

Nanit

Software Engineering, Data Science
Tel Aviv-Yafo, Israel
Posted on Wednesday, May 29, 2024

Nanit is a Tel Aviv-based company that revolutionized the parenting market with innovative baby monitoring technology. Leveraging computer vision, machine learning, and deep learning algorithms, our products offer actionable insights to parents, helping improve their baby's sleep cycles. As a leader in the connected nursery space, we are committed to empowering parents with information and tools to ensure their baby's well-being. Now, as a dynamic, VC-backed startup, we are looking for exceptional talent to join us in our mission to transform the parenting industry further.

Join our dynamic engineering team as a Data Engineer, where you will play a pivotal role in building and maintaining robust data infrastructure. If you have a passion for data engineering, enjoy tackling complex challenges, and view data management as a critical asset, you might be the perfect fit for our team.

Your Impact:

  • Data Infrastructure Development: Plan, Build, and maintain infrastructure that supports streaming data from multiple sources, such as S3, RDS, and Google Analytics, into a data lake.

  • System Monitoring and Reliability: Ensure the uptime and reliability of the infrastructure and systems, taking full responsibility for the data lake.

  • Cross-functional Collaboration: Work closely with data scientists, software engineers, and business stakeholders to understand data requirements and develop solutions that meet business needs.

  • Data Governance and Quality Assurance: Implement best practices for data governance, security, and quality assurance to ensure the integrity and reliability of our data assets.

  • Technological Mastery: Stay current with best practices and utilize a diverse technology stack, including RedPanda (Kafka), Materialize, Iceberg, Dagster, dbt, Snowflake, Kubernetes, Terraform, and Debezium.

  • AWS Proficiency: Leverage strong hands-on experience with AWS to enhance our data infrastructure.

Qualifications:

  • Professional Experience: 4+ years of experience in data infrastructure and data engineering, demonstrating solid skills in data manipulation, analysis, and pipeline development.

  • Database Expertise: Proven experience with NoSQL and SQL database technologies.

  • AWS Proficiency: Hands-on experience with AWS, including designing, deploying, and managing cloud-based infrastructure and services.

  • Software Engineering: Demonstrated expertise in building and deploying production-quality code, ensuring robust, reliable, and maintainable data systems.

  • Communication and Collaboration: Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and communicate technical concepts to non-technical stakeholders.

  • Passion for Data: Quick learner, team player, independent, imaginative, and motivated individual with a passion for data.

What You’ll Do:

  • High-Scale Data Infrastructure: Work on a complex, high-scale data infrastructure supporting our data needs, using advanced technologies.

  • Technological Exploration: Employ various technologies and frameworks to build and maintain our data infrastructure.

  • Expert Team Collaboration: Be part of an outstanding team following the principles of data engineering craftsmanship, creating innovative solutions for unique data challenges.

Preferred Skills:

  • Enthusiasm for new technologies and willingness to explore them.

  • Ability to independently take a concept from research to production.

  • Proactive in stepping out of your comfort zone.

  • Commitment to well-crafted and rigorously tested code.

What We Offer:

  • An innovative and inclusive work environment.

  • A culture that values continuous learning, growth, and innovative thinking.

  • A commitment to productivity, collaboration, and customer satisfaction.

  • Opportunities for career progression and professional development.

If you're excited by this opportunity and feel aligned with the role's requirements, we invite you to apply and contribute to our data infrastructure's success!