We are looking for an enthusiastic Data Engineer to be a member of the data engineering team that is building and expanding a Snowflake data warehouse on top of a real-time Kafka-based medical testing system. As a key member, you will bring valuable expertise to propel our efforts towards optimizing and innovating the data infrastructure in the healthcare sector.

Requirements:

• Experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient and distributed data pipelines with tools such as Snowflake with DBT (preferred), Matillion or AWS Glue.
• Expertise in cloud data warehouses like Snowflake (preferred), Redshift or Synapse.
• Knowledge of batch and streaming data processing techniques.
• Understanding of the Data Lifecycle Management process to collect, access, use, store, transfer, delete data.
• Background using SQL to write complex, highly-optimized queries across large volumes of data.

Nice to have/It's a plus:

• PowerBI
• Tableau
• Python
• Star Schema

Soft Skills:

• Experience working with distributed teams and clients
• Knowledge of Agile and SDLC concepts, practices, and techniques.
• Proactive Analytical attitude, strong sense of self-motivation, organization, attention to detail and analytical skills.
• Strong English communication skills, both written and spoken.