Senior Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and infrastructure to support data-driven decision-making within the organization. The Senior Data Engineer will be responsible for ensuring data quality, reliability, and performance, while collaborating with cross-functional teams to deliver impactful data solutions.

Key Responsibilities:

Design and develop scalable data pipelines using various technologies.
Build and maintain data warehouses and data lakes.
Implement data quality checks and monitoring systems.
Optimize data infrastructure for performance and cost-effectiveness.
Collaborate with data scientists and analysts to meet their data needs.
Troubleshoot and resolve data-related issues.
Stay up-to-date with the latest data engineering trends and technologies.

Requirements/Qualifications:

5 to 9 years of experience in data engineering.
Strong proficiency in data warehousing concepts and technologies.
Experience with ETL tools and processes.
Proficiency in SQL and scripting languages (e.g., Python).
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.