Specialist IS Engineer

Roles & Responsibilities:

• Collaborate closely with product owners,architects, business SMEs and engineers to develop and deliver high-quality solutions, enhancing and maintaining integrations across clinical systems.
• Design and architect the next-generation metrics engine on modern infrastructure to support operational analytics leveraging cloud technologies.
• Design and implement a new data governance capability incorporating essential features like metadata and reference data management for analytics.
• Take ownership of complex software projects from conception to deployment, managing scope, risk, and timelines.
• Utilize rapid prototyping skills to quickly translate concepts into working solutions and code.
• Leverage modern AI/ML technologies to enable predictive analytics, NLP/NLQ capabilities, and enhance the overall data analytics process.
• Analyze functional and technical requirements of applications, translating them into software architecture and design specifications.
• Develop and execute unit tests, integration tests, and other testing strategies to ensure software quality and reliability.
• Integrate systems and platforms to ensure seamless data flow, functionality, and interoperability.
• Provide ongoing support and maintenance for applications, ensuring smooth and efficient operation.
• Collaborate on building advanced analytics (such as Power BI, Spotfire, etc.) capabilities to empower data-driven decision-making and operational insights.
• Provide technical guidance and mentorship to junior developers, fostering team growth and skill development.

Basic Qualifications and Experience:

• Doctorate Degree OR
• Masters degree with 4 - 6 years of experience in Computer Science, IT or related field OR
• Bachelors degree with 6 - 8 years of experience in Computer Science, IT or related field OR
• Diploma with 10 - 12 years of experience in Computer Science, IT or related field
• Diploma with 14 - 18 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills

• Strong understanding in Advanced Analytics and BI tools like Power BI, Tableau, and SQL, leveraging data visualization, predictive analytics, and reporting for actionable insights.
• Hands on experience in programming (e.g., SQL, C++, JavaScript, XML).
• Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing

Good-to-Have Skills:

• Experience with software DevOps CI/CD tools, such Git, Jenkins, Linux, and Shell Script
• Experience with Spark, Hive, Kafka, Kinesis, Spark Streaming, and Airflow
• Experience with data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines
• Experience working in an agile environment (i.e. user stories, iterative development, etc.)

Soft Skills:

• Excellent analytical and troubleshooting skills
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills