Data Engineer

Job description

the employer Works is seeking 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. • Strong experience building and operating data platforms or large-scale data systems. • Solid understanding of data lake, warehouse, and Lakehouse architectures. Job location: Client site

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 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).
• Experience with infrastructure-as-code (Terraform or similar).

Skills