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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro locations, broad skillset, and popular data-engineer title increase competition despite senior requirement.
Requires insurance domain and regulatory knowledge, reducing cross-industry transferability.
Explicit 12+ years, mandatory tech stack and insurance domain knowledge make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and development of scalable data engineering frameworks and patterns to support business needs.
Drive innovation and build real-time data pipelines and cloud data platforms (Azure) ensuring data quality, governance, and compliance.
Serve as a mentor and engineering leader, implementing CI/CD and DataOps practices while collaborating with stakeholders to align data strategies.
Minimum Requirements
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field; Master's preferred.
Minimum 12 years experience in data engineering, preferably in Life Insurance domain.
Proficiency in Python, Scala, SQL; experience with Azure SQL, MongoDB, Cosmos DB, Databricks, Apache Kafka, Apache Flink.
Work Experience Required: Minimum 12 years in data engineering roles.
Ideal Candidate Profile
Senior data engineering professional with extensive experience leading large-scale data architecture and transformation projects.
Strong expertise in cloud-based data platforms, real-time data pipelines, and data management frameworks in the insurance domain.
Experienced in mentoring teams, driving adoption of DevOps/DataOps and engaging with business and IT stakeholders for strategic alignment.