Data Engineer: Scalable Pipelines for AI Data Platforms

Sulekha.com New Media Pvt Ltd; Hayward (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Sulekha.com New Media Pvt Ltd in California is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power analytics, reporting, and AI initiatives. You will work with cloud technologies, ETL/ELT processes, and data warehousing to deliver reliable data solutions.

Collaborating with data scientists, analysts, and software engineers, you will implement data quality, governance, and monitoring, and develop batch and real-time processing while documenting

Qualifications

• Experience with cloud data platforms and data warehousing
• Proficiency in ETL/ELT design and data modeling
• Familiarity with data governance, security, and quality
• Ability to work with cross-functional teams in a fast-paced environment

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Develop and optimize data integration workflows from multiple sources.
• Build and manage data lakes, data warehouses, and data marts.
• Ensure data quality, integrity, security, and governance.
• Optimize database performance and data processing workflows.
• Work with cross-functional teams including Data Scientists, Analysts, and Software Engineers.
• Implement data validation, monitoring, and automated testing.
• Develop batch and real-time data processing solutions.
• Create technical documentation and maintain data architecture standards.
• Troubleshoot and resolve data pipeline and performance issues.

Job description

Sulekha.com New Media Pvt Ltd in California is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power analytics, reporting, and AI initiatives. You will work with cloud technologies, ETL/ELT processes, and data warehousing to deliver reliable data solutions.

Collaborating with data scientists, analysts, and software engineers, you will implement data quality, governance, and monitoring, and develop batch and real-time processing while documenting