Description

You will design and implement scalable data pipelines and processing applications to support large-scale analytics.

Responsibilities

• Design and implement scalable data pipelines using Scala and BigQuery.
• Develop ETL/ELT processes to ingest, transform, and store structured and semi-structured data.
• Optimize BigQuery queries and manage cost-effective data processing.
• Ensure data quality, integrity, and governance across all data systems.
• Automate data workflows and implement monitoring and alerting systems.

Required Skills

• 5-10 years of experience in data engineering with a focus on production-grade pipelines.
• Hands-on experience with Scala for developing data processing applications.
• Proven expertise using Google BigQuery for large-scale data processing.
• Experience building and managing ETL/ELT processes.
• Strong understanding of data governance and quality assurance.
• Ability to optimize query performance and manage data workflows.
• Experience with workflow automation and pipeline monitoring.
• Any Graduation degree.

Key Skills

Education

Any Graduate