Job Description

Posted on:

October 27, 2024

At Dario, every day is a new opportunity to make a difference. We are on a mission to make better health easy. Every day, our employees contribute to this mission and help hundreds of thousands of people around the globe improve their health. How cool is that? We are looking for passionate, smart, and collaborative people who have a desire to do something meaningful and impactful in their career. We are seeking a highly skilled and experienced Senior Data Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data pipelines and systems. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable advanced analytics. The ideal candidate is a proficient problem solver with a strong background in data engineering, ETL processes, data warehousing, and cloud technologies.

Responsibilities:

  • Develop and maintain DarioHealth data infrastructure.
  • Optimize and enhance existing data infrastructure to improve performance, efficiency, and reliability.
  • Define and build future data infrastructures using both big data and near real-time approaches.
  • Collaborate with data scientists, analysts, and stakeholders to understand data requirements, implement data models, and support analytical initiatives.
  • Develop and maintain documentation, including data dictionaries, technical specifications, and standard operating procedures.
  • Work in an Agile methodology, focusing on delivery and quality.
  • Stay up to date with emerging trends and advancements in data engineering and relevant technologies.

Requirements:

  • 4+ years of hands-on experience in Data Engineering.
  • Solid understanding of data warehousing concepts, dimensional modeling, and schema design.
  • At least 4 years of proven experience with Python.
  • Experience in data pipelines development with Airflow or similar.
  • Proven experience with multiple database engines (relational, key-value, big data, etc.).
  • Agile-based development experience.
  • Proven experience with Git and CI/CD.
  • Experience with cloud-based data technologies, preferably AWS.
  • B.A./B.Sc. in Industrial/Information Systems Engineering, Computer Science, Statistics, or equivalent experience.

Preferred Qualifications:

  • Snowflake experience.
  • Experience with NoSQL databases like MongoDB/Redis.
  • dbt experience.
  • Experience with real-time pipelines, Spark/Kafka/BigQuery.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Experience with data governance, data privacy, and security practices.

DarioHealth promotes diversity of thought, culture, and background, which connects the entire Dario team. We believe that every member of our team enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and discover, design, and deliver solutions. We are passionate about building and sustaining an inclusive and equitable working and learning environment for all people, and we do not discriminate against any employee or job candidate.

Secret insights

Dario is growing fast! With 247 employees, they boast a 40% increase in engineering roles and HR’s up 30%. They're prioritizing talent and care for their people. Great pick for AI pros!