Data Engineer – Build Scalable Data Pipelines

About the role

The Data Engineer will design, develop, and maintain robust data pipelines, warehouses, and integration solutions that enable business intelligence, analytics, reporting, and AI initiatives. You will ensure data assets are reliable, secure, and performant across the organization.

Key responsibilities

• Develop and maintain ETL/ELT processes and automated data pipelines.
• Design, implement, and manage data warehouses, data marts, and data lakes.
• Integrate data from diverse internal and external sources.
• Monitor and improve data quality, accuracy, and consistency.
• Optimize database performance and data processing workloads.
• Support reporting, analytics, and AI/ML projects with reliable data feeds.
• Implement data governance, security, and compliance standards.
• Troubleshoot and resolve data‑related issues promptly.

Required profile

• Bachelor's degree in Computer Science, IT, Data Science or related field.
• 3+ years of experience in data engineering, warehousing, or integration.
• Strong knowledge of SQL and database design concepts.
• Excellent analytical, problem‑solving, and communication skills.
• Ability to manage multiple priorities and meet deadlines.

Required skills

• Python
• SQL
• SQL Server, Oracle, PostgreSQL, MySQL
• SSIS, Azure Data Factory, Informatica, Talend
• Azure, AWS, Google Cloud Platform (GCP)
• Power BI, Tableau