Senior Data Engineer - Real-time Resource Allocation

In this vital role you will be responsible for the development and implementation of our data strategy. The ideal candidate possesses a strong blend of technical expertise and data-driven problem-solving skills. As a Data Engineer, you will play a crucial role in building and optimizing our data pipelines and platforms in a SAFE Agile product team.

Roles & Responsibilities:

• Chip into the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.
• Deliver for data pipeline projects from development to deployment, managing, timelines, and risks.
• Ensure data quality and integrity through meticulous testing and monitoring.
• Leverage cloud platforms (AWS, Databricks) to build scalable and efficient data solutions.
• Work closely with product team, and key collaborators to understand data requirements.
• Enforce to data engineering industry standards and standards.
• Experience developing in an Agile development environment, and comfortable with Agile terminology and ceremonies.
• Familiarity with code versioning using GIT and code migration tools.
• Familiarity with JIRA.
• Stay up to date with the latest data technologies and trends

What we expect of youWe are all different, yet we all use our unique contributions to serve patients. The professional we seek is someone with these qualifications.

Basic Qualifications:

• Master s degree and 4 to 6 years of Information Systems experience OR
• Bachelor s degree and 6 to 8 years of Information Systems experience OR
• Diploma and 10 to 12 years of Information Systems experience.
• Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP)
• Proficiency in Python, PySpark, SQL.
• Development knowledge in Databricks.
• Good analytical and problem-solving skills to address sophisticated data challenges.

Must-Have Skills:

• Experienced with data modeling
• Experienced working with ETL orchestration technologies
• Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and DevOps
• Familiarity with SQL/NOSQL database

Good-to-Have Skills:

• Experience with DevOps CI/CD build and deployment pipeline
• Experience with design patterns, data structures, test-driven development
• Experience with Python-based visualization frameworks like Plotly.

Soft Skills:

• Skilled in breaking down problems, documenting problem statements, and estimating efforts.
• Effective communication and interpersonal skills to collaborate with multi-functional teams.
• Excellent analytical and problem solving skills.
• Strong verbal and written communication skills
• Ability to work successfully with global teams
• High degree of initiative and self-motivation.
• Team-oriented, with a focus on achieving team goals