Job description
Position Overview: We are looking for a Data Engineer to build and operate a scalable, secure, and reliable data platform that enables analytics, data science, and downstream applications.
This role focuses on designing core data infrastructure, developer tooling, and self-service capabilities that empower teams to work with data efficiently and safely.
Key Responsibilities: Design, build, and maintain the data platform and core data infrastructure.
Build reusable, self-service data pipelines and platform services for internal teams.
Implement data orchestration, observability, and monitoring across the platform.
Ensure data quality, integrity, and reliability across systems.
Define and enforce data platform standards, best practices, and architectural patterns.
Integrate data from multiple sources (APIs, databases, streaming systems, etc.
). Manage and optimize data storage solutions (data warehouses, data lakes).
Collaborate with cross-functional teams to understand data requirements.
Monitor, troubleshoot, and improve performance of data workflows.
Implement best practices for data security, governance, and compliance.
Document data architecture, pipelines, and processes.
Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field.
•Strong experience building and operating data platforms or large-scale data systems.
Advanced SQL and strong programming skills (Python, Java, or Scala).
Strong experience with Informatica (PowerCenter, Informatica Intelligent Cloud Services, or similar).
Experience with data orchestration tools (Airflow, Dagster, Prefect, or similar).
Solid understanding of data lake, warehouse, and Lakehouse architectures.
Experience with infrastructure-as-code (Terraform or similar).
This job post has been translated by AI and may contain minor differences or errors.
Preferred candidate
Years of experience
No experience required
Degree
Bachelor's degree / higher diploma
