
Azure Data Solutions Architect
19 hours ago
As a highly skilled Data Engineer, you will design and develop scalable data pipelines and analytics solutions in Azure Databricks.
We are seeking an experienced professional to collaborate with cross-functional teams to deliver end-to-end data solutions.
Key Responsibilities:
- Develop and maintain ETL/ELT pipelines and data workflows in Azure Databricks.
- Build and optimize Spark-based solutions for processing large-scale structured and unstructured data.
- Integrate Databricks with other Azure services (Data Lake, Synapse, Data Factory, Key Vault, Event Hub, etc.).
- Implement data ingestion frameworks using APIs, connectors, and streaming sources.
- Collaborate with data scientists, analysts, and application teams to deliver data solutions that meet business needs.
- Evaluate performance tuning, debugging, and job optimization for efficient resource utilization.
- Maintain best practices for security, governance, version control, and CI/CD pipelines in Databricks.
Required Technical Skills: Strong proficiency in Microsoft Azure Databricks and Apache Spark.
Good to Have Skills:
- Experience with cloud computing platforms (AWS, GCP) in addition to Azure.
- Knowledge of Delta Lake, DataBricks SQL, and MLflow for advanced analytics and machine learning workflows.
- Understanding of real-time data streaming (Kafka/Event Hub).
What We Offer:
A collaborative, dynamic environment that fosters innovation and growth. Our team is passionate about working with big data and driving business success.
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