Senior Data Engineer

Key Contributions

• Design, develop, and maintain end-to-end data pipelines to ingest, process, and store large volumes of data from multiple sources.
• Architect and build scalable data infrastructure, including data lakes, data warehouses, pipelines, and metadata repositories.
• Build, optimize, and maintain data warehouses and data lakes to support analytics, reporting, and downstream data consumers.
• Ensure data quality, reliability, consistency, and timeliness across the entire data platform.
• Optimize data processing performance, cost efficiency, and system scalability.
• Monitor, troubleshoot, and resolve issues related to data pipelines and data infrastructure.
• Take ownership of critical data systems, continuously improving platform stability, scalability, and maintainability.
• Collaborate closely with stakeholders and cross-functional teams to design, deliver, and maintain data products and data services.

Requirements

• At least 4+ years of hands-on experience in Data Engineering.
• Strong experience in Data Warehouse and Data Lakes technologies.
• Experience with enterprise BI tools, such as Tableau, Looker, or PowerBI.
• Strong skills in Java/Python/Go and SQL are required.
• Solid experience designing and maintaining ETL/ELT pipelines for large-scale data processing.
• Good understanding of data modeling, data quality, and performance optimization.
• Good/Fluent English communication is mandatory.

Nice to have:

• Experience working with cloud-based data platforms (AWS/GCP/Azure).