Data Engineer - Mom Corp MMH260402-6

Role Purpose

The Data Engineer is responsible for designing, building, and maintaining scalable
data pipelines and platforms that enable advanced analytics, operational
reporting, and data-driven decision-making.

Requirements

• 5+ years' experience in data engineering, preferably in financial services (insurance, investment, or fintech).
• Proven experience with cloud-based data ecosystems (AWS or Azure) Strong understanding of data modeling, ETL/ELT design, and pipeline orchestration.
• Familiarity with regulatory data requirements in financial services. AWS Certified Data engineer (advantageous)

Duties and Responsibilities

Key Accountabilities/Kras/Kpis

• Design, develop, and maintain ETL/ELT pipelines to collect, process, and store structured and unstructured data from multiple systems.
• Implement streaming and batch data workflows using cloud-native tools
• Automate ingestion from core systems Develop and maintain data models, storage solutions, and integrations within cloud platforms
• Implement data lake and data warehouse architectures Collaborate with architects to ensure alignment with enterprise cloud strategy and data governance frameworks
• Optimize data storage and query performance for analytical workloads. Leverage partitioning, indexing, caching, and compression strategies in cloud data environments.
• Implement and manage monitoring and alerting for cloud infrastructure using Datadog
• Monitor cost and performance metrics across cloud services. Work closely with data scientists, analysts, and software engineers to enable advanced analytics and AI/ML use cases.
• Using DevOps practices and IaC (Infrastructure as Code). Participate in Agile sprint planning, backlog grooming, and technical reviews.

Application Note

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