Senior Data Engineer
Job Title: Data Engineer
Location: Plano TX (Onsite)
W2 Position
1. Data Pipeline Development & Maintenance
Design, build, and optimize scalable data pipelines using DBT for transformation and Azure Data Factory, Azure Synapse, or Databricks for orchestration and processing.
Automate ingestion of data from multiple structured and unstructured sources into Snowflake. 2. Snowflake Data Platform Management
Develop and maintain Snowflake schemas, tables, views, and role-based access control.
Optimize Snowflake performance via clustering, partitioning, caching, and query tuning.
Manage Snowflake data sharing, replication, and cost controls. 3. DBT (Data Build Tool) Implementation
Create modular, reusable DBT models and SQL-based transformations.
Manage and document lineage, testing, and deployment using DBT Cloud or CLI.
Implement version control and CI/CD pipelines for DBT workflows (GitHub/Azure DevOps). 4. Azure Cloud Infrastructure
Utilize Azure Blob Storage, Azure Data Lake, and Azure SQL for storage and staging.
Implement Azure Key Vault for secure secrets management.
Collaborate with DevOps to monitor, deploy, and secure cloud-based solutions. 5. Data Quality & Governance
Build and maintain data quality checks, logging, and alerting using DBT tests and monitoring tools.
Ensure compliance with data privacy and security policies.
Document data definitions, business logic, and data flows. 6. Collaboration & Support
Partner with Data Analysts, Data Scientists, and Business Stakeholders to understand data needs and deliver actionable insights.
Provide ongoing support and troubleshooting for data issues and enhancements.
Mentor junior team members on Snowflake, DBT, and best practices.
Intrested can share resume to [email protected]
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