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انتهت بتاريخ ١ أبريل ٢٠٢٦
وصف الوظيفة
We are seeking a Senior Data Analyst to deliver data-driven solutions that optimize fleet utilization and operational efficiency across 46,000+ assets in 545+ locations. You will enable decision-making through demand forecasting, asset cascading, contract analysis, and risk detection, partnering with engineering and business stakeholders to take models from concept to production on AWS. Requirements include 5+ years of experience in data analysis or data engineering, 3+ years of hands-on experience building production ETL/ELT pipelines, advanced SQL skills, and proficiency in Python and Snowflake. You will design and develop ETL/ELT pipelines using Snowflake, Snowpipe, and internal systems, build dimensional data models using dbt, and implement CDC patterns. Trinetix offers continuous learning, medical insurance, mental health support, and flexible working hours.
المسؤوليات
- Design and develop ETL/ELT pipelines using Snowflake, Snowpipe, internal systems, Salesforce, SharePoint, and DocuSign
- Build and maintain dimensional data models in Snowflake using dbt, including data quality checks
- Implement CDC patterns for near real-time data synchronization
- Manage and evolve the data platform across S3 Data Lake (Apache Iceberg) and Snowflake data warehouse
- Build and maintain Medallion architecture data lake in Snowflake
- Prepare ML features using SageMaker Feature Store
- Develop analytical dashboards and reports in Power BI
المؤهلات
- 5+ years of experience in data analysis or data engineering
- 3+ years of hands-on experience building and supporting production ETL/ELT pipelines
- Advanced SQL skills (CTEs, window functions, performance optimization)
- Strong Python skills (pandas, API integrations)
- Proven experience with Snowflake (schema design, Snowpipe, Streams, Tasks, performance tuning, data quality)
- Solid knowledge of AWS services: S3, Lambda, EventBridge, IAM, CloudWatch, Step Functions
- Strong understanding of dimensional data modeling (Kimball methodology, SCDs)
- Experience working with enterprise systems (ERP, CRM, or similar)