Big Data Engineer

Our data engineering team is building and maintaining mission-critical data infrastructure to power business intelligence and analytics capabilities. This involves developing robust data pipelines, implementing scalable data architectures, and establishing data governance frameworks to support data-driven decision making across the organization.

Essential functions

• SQL (Primary tool for data manipulation and analysis)
• Python for data processing and automation
• BigQuery, Cloud SQL
• Google Cloud Platform (DataFlow, DataProc, Data Fusion)
• Data warehousing solutions
• ETL/ELT tools and frameworks

Qualifications

• 8-10 years of experience in data engineering or related field
• Expert knowledge of SQL
• Mid-level knowledge of Python (expert preferred)
• Experience with cloud platforms, particularly Google Cloud
• Strong understanding of data modeling and warehouse concepts
• Experience with ETL pipeline design and implementation
• Experience with big data technologies (Hadoop, Spark)

Would be a plus

• Knowledge of data governance and security practices
• Experience with real-time data processing
• Familiarity with BI tools and reporting platforms
• Strong background in performance optimization and tuning
• Advanced debugging and troubleshooting skills