Senior Data Engineer

Key Skills: Scala, Google BigQuery, Data Pipelines, ETL/ELT, Data Engineering, Data Governance, Workflow Automation, Performance Optimization.

Roles and Responsibilities:

• Design and implement robust, scalable data pipelines using Scala and BigQuery.
• Develop ETL/ELT processes to ingest, transform, and store large volumes of structured and semi-structured data.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
• 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.
• Participate in code reviews, architecture discussions, and performance tuning.

Experience Requirement:

• 5-10  years of experience in data engineering with a strong focus on building production-grade data pipelines.
• Solid hands-on experience with Scala in developing data processing applications.
• Proven expertise in using Google BigQuery for large-scale data processing and analytics.
• Experience in optimizing query performance and managing data workflows.
• Background in working with data governance, quality assurance, and pipeline monitoring.

Education: Any Graduation