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.
  
  

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• 346021306