Databricks Engineer

We are looking for an experienced Senior Data Engineer with strong hands-on expertise in Google Cloud Platform (Google Cloud Platform) and Databricks to join our team in Irving, TX. The ideal candidate will have 8+ years of experience in data engineering, designing and developing scalable data pipelines, implementing ETL/ELT processes, and working with cloud-based data platforms. The candidate will be responsible for building, optimizing, and maintaining data solutions using Google Cloud Platform, Databricks, Python, PySpark, and SQL. Experience with large-scale data processing, data warehousing, and cloud data integration is essent

• Design, develop, and maintain scalable data pipelines using Google Cloud Platform and Databricks.
• Build and optimize ETL/ELT workflows for large-scale data processing.
• Develop data transformation and processing solutions using Python, PySpark, and SQL.
• Work with Google Cloud Platform services, including BigQuery, Cloud Storage, Dataflow, and Dataproc.
• Implement data lakehouse solutions using Databricks and Delta Lake.
• Optimize Spark jobs and data pipelines for performance and cost efficiency.
• Implement data quality checks, validation, and error-handling mechanisms.
• Collaborate with data architects, analysts, and business stakeholders.
• Troubleshoot production issues and ensure data reliability and availability.
• Follow data governance, security, and cloud data engineering best practices.
• Must be willing to work onsite 5 days a week in Irving, TX.
• In-person interview is mandatory.
• Candidates with any valid visa status are welcome.
• W2 and C2C candidates accepted

For applications and inquiries,