Data Engineer

• 3+ Years of Data Engineering hands-on experience
• Solid understanding of data warehousing concepts, dimensional modeling, and schema design.
• At least 2 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, CI/CD
• Experience with cloud-based data technologies, preferably AWS
• Experience with Snowflake or any other Data warehouses
• Proven expertise in working with backend databases and designing scalable, maintainable data architectures.
• B.Tech/B.Sc. in industrial/information systems engineering, computer science, statistics, or equivalent experience.

Preferred Qualifications:

• Experience with NoSQL databases like MongoDB/Redis.
• dbt experience
• Experience with Real-time pipelines
• Spark/Kafka/BigQuery experience
• 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 on our team enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and to discover, design and deliver solutions. We are passionate about building and sustaining an inclusive and equitable working and learning environments for all people, and do not discriminate against any employee or job candidate. ***