What are the responsibilities and job description for the Senior Azure Data Engineer - Onsite Interview position at GTECH LLC?
Senior Azure Data Engineer Azure Databricks, PySpark & ADF
Location: Bellevue, WA 98006
Work Mode: Hybrid
Duration: 12 Months
Interview Process: Video Call In-person Interview
Job Description
We are seeking an experienced Senior Azure Data Engineer with strong expertise in Azure Databricks, Azure Data Factory (ADF), PySpark, and SQL. The ideal candidate will design, develop, and optimize scalable data pipelines for batch and streaming data processing while ensuring data quality, performance, and reliability.
Required Skills
Location: Bellevue, WA 98006
Work Mode: Hybrid
Duration: 12 Months
Interview Process: Video Call In-person Interview
Job Description
We are seeking an experienced Senior Azure Data Engineer with strong expertise in Azure Databricks, Azure Data Factory (ADF), PySpark, and SQL. The ideal candidate will design, develop, and optimize scalable data pipelines for batch and streaming data processing while ensuring data quality, performance, and reliability.
Required Skills
- 8 years of overall experience in data engineering.
- Strong hands-on experience with Azure Databricks, Azure Data Factory, and PySpark.
- Proficiency in SQL, Spark optimization, Delta Lake, and Azure Data Lake Storage (ADLS Gen2).
- Experience with ETL/ELT pipelines, data integration, and batch/streaming data processing.
- Knowledge of CI/CD, Git, Terraform, and Azure cloud services.
- Scala, Azure Synapse, and Event Hub experience is a plus.