Transformative Data Engineering Role
This is a key opportunity to advance your data engineering career and contribute to business growth.
* Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Services.
* Build high-performance data processing solutions with Apache Spark (PySpark) on Azure Databricks.
* Collaborate with data scientists, analysts, and business stakeholders to deliver clean, reliable datasets.
Responsibilities:
Azure Data Bricks; Azure Data Factory; Azure Data Services Experience with columnar and table formats (Parquet, Delta, Hudi, Iceberg). Utilization of Data Quality tools (Great Expectations, Soda). Familiarity with Step Functions, EventBridge, or Kinesis. Best practices for API security (Cognito, WAF, IAM Policies).
Soft Skills: Effective communication and teamwork. Proactivity in problem-solving. Ability to handle agile environments and rapid changes.