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
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