Data Engineer

Must-have criteria:

1. Minimum 8+ years of IT experience, with at least 5+ years specifically in data engineering delivery leadership or technical lead roles - with the ability to independently own and drive project delivery in a timely manner
2. Agile methodology
3. Hands-on experience with Azure Cloud Services, database technology (Oracle, SQL Server, or PostgreSQL), Azure Databricks, Apache Spark (PySpark / Spark SQL), and modern ETL/ELT pipeline design, AliCloud big data tools, specifically DataWorks, MaxCompute, OSS, and Hologres
4. Must be proficient in written and spoken English – only local candidates who do not require visa sponsorship will be considered

Good-to-have criteria:

1. Experience with FineBI, Power BI, Tableau or similar enterprise reporting tools
2. Any other language proficiencies

Position Responsibilities:

• Partner closely with Health business unit leaders, Health product owners, and IT stakeholders to capture business requirements, define project scopes, and establish clear delivery timelines.
• Partner and collaborate with Health Regional teams.
• Perform workload and effort estimation; break down complex data initiatives into detailed technical epics, user stories, and execution roadmaps.
• Design, build, and optimize scalable batch and real-time data pipelines, data lakehouse architectures, and data warehousing solutions.
• Provide technical leadership for enterprise data platforms, driving architecture, engineering best practices, platform optimization, and innovation across Azure Cloud and Databricks (Spark)
• Implement robust data orchestration, data ingestion, cleansing, transformation, augmentation, and data quality control processes.
• Establish and enforce technical quality standards, data governance frameworks, and best practices across data ingestion, storage, and processing.
• Conduct thorough code reviews, lead technical troubleshooting, and ensure data pipelines are secure, resilient, and cost-optimized