Data Engineer

Key Responsibilities

• Design, develop, and maintain data ingestion and processing pipelines.
• Ensure data quality, integrity, governance, and security across data platforms.
• Optimize data workflows to support analytics, reporting, and machine learning use cases.
• Support scalable data storage and processing platforms.
• Collaborate with analytics, business intelligence, and ML teams to deliver reliable data solutions.
• Monitor and troubleshoot data pipeline performance and reliability.
• Implement best practices for data architecture, transformation, and automation.

Required Skills

• Strong experience in data pipeline development and ETL/ELT processes.
• Knowledge of data quality, governance, and security standards.
• Experience with scalable data platforms and cloud-based data solutions.
• Strong understanding of data modeling, transformation, and integration concepts.
• Experience supporting analytics and machine learning workloads.
• Strong problem-solving and collaboration skills.

Preferred Qualifications

• Experience with modern cloud data platforms and big data technologies.
• Familiarity with data orchestration and workflow automation tools.
• Knowledge of SQL, Python, or other data engineering technologies.