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 fieldExpert knowledge of SQLMid-level knowledge of Python (expert preferred)Experience with cloud platforms, particularly Google CloudStrong understanding of data modeling and warehouse conceptsExperience with ETL pipeline design and implementationExperience with big data technologies (Hadoop, Spark)Would be a plus
Knowledge of data governance and security practicesExperience with real-time data processingFamiliarity with BI tools and reporting platformsStrong background in performance optimization and tuningAdvanced debugging and troubleshooting skillsSkills Required
Debugging, Data Modeling, Data Governance, Data Processing, Automation