Do meaningful work with us. Every day.

At Amplify Health, we’re looking for individuals with ambition, resilience and passion for healthcare, insurance, wellness and digital technology. As a fast-growing business with the ambition of making people and communities across Asia healthier, we have exciting career opportunities available to help us achieve our vision.

Lead development and production deployment of enterprise-level analytic data products determining appropriate design strategies and methodologies.

Primary Job Duties & Responsibilities
Lead development and production deployment of enterprise-level analytic data products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends.
Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner, and empathetically and actively listening to other’s thoughts and ideas.
Partner with data management & information security colleagues to ensure the protection of highly sensitive datasets.
Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly.
Present analysis and recommendations to help influence strategic decisions.
Lead and take action, inspire and motivate others, and be effective at influencing team members.
Guide and coach team members, focusing on individual’s professional development as well as overall team health and technical proficiency.

What Will Our Ideal Candidate Have?

Preferably 10+ years of work experience building, managing, and leading high-performing, diverse, collaborative, and geographically distributed data engineering teams. Demonstrated ability as a strategic technical partner, working collaboratively with data analytics, data science, product, engineering, and other cross-functional partners, to plan, prioritize, and achieve company goals. Experience starting, leading, and evolving technical forums, with effective soft skills, as well as representing data engineering and architectural considerations in cross-team settings. Experience developing and nurturing data engineering talent, including implementing training, upskilling, and mentorship plans. Expert-level engineering, architecture, and system design knowledge, with strong computer science fundamentals Experience developing efficient and scalable production software in Python, Java, or other programming languages commonly used in data engineering Understanding of event-driven and/or streaming workflows with tools like Kafka and Spark Aptitude with ETL concepts and tools, including experience ingesting, processing, and transforming a variety of data at scale Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics databases Experience with some of the following tools & platforms (or similar): Azure (ADLS, ADF, AKS, Synapse, Purview), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, MLFlow Knowledge and experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization Excellent written and oral communication skills, with a demonstrated ability to communicate complex concepts to a wide range of audiences. Ability to thrive in a fast-paced, agile, and dynamic environment, while exuding a can-do attitude Ability to handle multiple concurrent projects while working independently and in teams of all sizes with representatives from a diverse set of technical backgrounds. Bachelor’s or Master’s degree in Computer Science or equivalent; team leadership and management training is a plus

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