Senior Data Engineer

We are seeking a seasoned Senior Data Engineer to join our team. In this role, you will be the backbone of our data architecture, responsible for designing and maintaining the high-performance pipelines that power our business insights. You will bridge the gap between raw data and actionable intelligence, ensuring our stakeholders have access to reliable, consumable datasets.

Key Responsibilities

• Pipeline Architecture: Design, build, and maintain robust batch and real-time data pipelines in a production environment.
• Infrastructure Optimization: Maintain and optimize data infrastructure for accurate Extraction, Transformation, and Loading (ETL) from a diverse array of data sources.
• Automation: Streamline data workflows, including ingestion, aggregation, and complex ETL processing to improve efficiency and reliability.
• Data Enablement: Transform raw data within Data Warehouses into structured, consumable formats for both technical teams and non-technical business stakeholders.

Mandatory Requirements

Note:Candidates who do not meet these specific criteria will not be considered.

1. Technical Expertise: 5–10 years of dedicated Data Engineering experience with deep proficiency in the following Azure tech stack:

• Azure Databricks
• Azure Data Factory
• Cosmos DB

1. Communication: Professional proficiency in English (both written and spoken).

Preferred Qualifications (Nice to Have)

• Industry Experience: Prior background in Insurance or Financial Services.
• Soft Skills: A strong team player with excellent interpersonal skills and proven leadership capabilities.
• Scale: Previous exposure to end-to-end global or highly scalable projects.
• Technical Breadth: Understanding of Java Spring Boot for backend integration.

Leadership & Culture

We are looking for candidates who embody our core leadership principles:

• Obsess About Customers: Designing data solutions with the end-user in mind.
• Do the Right Thing: Ensuring data integrity, security, and high ethical standards.
• Think Big: Building scalable infrastructure that anticipates future business needs.