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 ORMasters degree with 4 - 6 years of experience in Computer Science, IT or related field ORBachelors degree with 6 - 8 years of experience in Computer Science, IT or related field ORDiploma with 10 - 12 years of experience in Computer Science, IT or related fieldDiploma with 14 - 18 years of experience in Computer Science, IT or related fieldFunctional 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 processingGood-to-Have Skills :
Experience with software DevOps CI / CD tools, such Git, Jenkins, Linux, and Shell ScriptExperience with Spark, Hive, Kafka, Kinesis, Spark Streaming, and AirflowExperience with data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelinesExperience working in an agile environment (i.e. user stories, iterative development, etc.)Soft Skills :
Excellent analytical and troubleshooting skillsStrong verbal and written communication skillsAbility to work effectively with global, virtual teamsHigh degree of initiative and self-motivationAbility to manage multiple priorities successfullyTeam-oriented, with a focus on achieving team goalsStrong presentation and public speaking skillsSkills Required
Analytics, Tableau, Big Data Technologies, Programming Languages, Sql, Data Visualisation