Data Engineer

We are on the hunt for a passionate Data Engineer to join our dynamic team. This role is perfect for those who possess an innate curiosity and a relentless drive to learn, offering a unique opportunity to contribute significantly to the healthcare sector within a vibrant startup culture.

As our Data Engineer, you will play a vital role in: 

• Designing and Managing Data Pipelines: Develop and maintain efficient data ingestion processes across various sources (Snowflake, PostgreSQL, Elastic Search), ensuring seamless data flow and availability.
• Cross-functional Collaboration: Work closely with our technology and business teams to crystallize requirements, contributing to a continuous development roadmap.
• Advanced Support: Offer L3/L4 support, addressing and resolving escalated user issues.
• Data Transformation: Utilize DBT for crafting transformation logic, preparing data for consumption by business teams, front-end developers, and APIs.
• Process Optimization: Elevate our organizational efficiency by automating manual operations, enhancing monitoring, and refining alerting mechanisms.

In the first 90 days, you will have:

• Platform Mastery: Acquaint yourself thoroughly with the Waltz technology ecosystem.
• Industry Insight: Gain deep insights into the Pharmacy industry and how Waltz's offerings stand out.
• Infrastructure Excellence: Design and implement a resilient data infrastructure and reporting solutions.

You will be successful because you have these skills and traits: 

• Technical Proficiency:
• Experience in building scalable data pipelines with Azure Data Factory, emphasizing data quality and direct usability.
• Expertise in data modeling with DBT or Postgres stored procedures.
• Expertise with serverless applications using Azure Functions, and coding in Python for data processing and automation.
• Database Management: Competency in managing PostgreSQL and Snowflake databases, focusing on data integrity, performance, and security.
• Collaborative Spirit: Ability to work closely with cross-functional teams, understanding their data needs and crafting enabling solutions.
• System Optimization: Skills in monitoring, diagnosing, and enhancing data systems for better reliability and efficiency.
• Effective Communication: Clarity in conveying complex technical ideas to varied organizational levels, thriving in both independent and team settings.
• Adaptability: Agile in responding to the evolving needs of a growing company, with a knack for problem-solving, critical thinking, and creative innovation.

You have these qualifications: 

• Educational Background: A Bachelor’s or master's degree in computer science, Engineering, or a related discipline.
• Experience: At least 2 years in a Data Engineering capacity, with a solid foundation in cloud-based data solutions, primarily within Azure environments.
• Technical Skills: Proficiency in Azure Data Factory, Azure Functions, Python programming, DBT for data modeling, and familiarity with PostgreSQL and Snowflake databases.
• Preferred Qualifications: Exposure to Microsoft Azure and experience with Elastic Search are advantageous.