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Tier-1 brand, popular Data Engineer role, mid-level experience requirement increase competition.
Requires healthcare domain experience and compliance knowledge, limiting cross-industry transferability.
Mandatory 3+ years, specific Azure/Databricks/Snowflake skills, and healthcare experience enforce high shortlisting strictness.
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Design, build, and maintain scalable data engineering solutions including data lakes/lakehouses on Azure using Azure Databricks, Azure Data Factory, Snowflake, and PySpark.
Lead technical aspects such as data architecture, performance tuning, code reviews, mentoring junior and offshore engineers, and ensuring data quality and security especially for healthcare data.
Collaborate with business stakeholders and cross-functional teams to translate requirements into robust data solutions and support production systems including on-call duties.
Graduate degree or equivalent experience.
Minimum 3+ years experience in data engineering, data warehousing, or data lake implementations.
3+ years healthcare domain experience with strong knowledge of data sensitivity, compliance, and regulatory requirements.
Hands-on experience with Azure Databricks, PySpark, Azure Data Factory, Snowflake, advanced SQL, and experience with Azure Cloud data lakehouse architecture.
Experienced in translating complex healthcare data compliance needs into compliant scalable data architectures on Azure Cloud.
Proven ability to lead and coordinate with offshore and cross-functional teams including infrastructure and cloud for deployments and production support.
Familiarity with Agile/Scrum, CI/CD, DevOps practices for data platforms and capability to manage application support models including flexible hours.