Senior Databricks Engineer

3 months ago


Chennai, India IT Source Global Full time

Role : Senior Databricks Engineer

Job Description :

- Lead the design and development of big data pipelines and ETL/ELT workflows using Databricks and Azure Data Factory (ADF).

- Develop scalable, high-performance data processing and transformation pipelines using Apache Spark within Databricks.

- Create, schedule, and orchestrate data workflows and pipelines in Azure Data Factory to automate and optimize data movement and transformation processes.

- Collaborate with data architects to design and implement data lakes, data warehouses, and data marts on Azure.

- Build data integration solutions between on-premise and cloud systems, ensuring the secure transfer and transformation of data.

- Optimize data pipelines for performance, ensuring low-latency, fault tolerance, and scalability.

- Implement data quality and governance standards, ensuring data accuracy, consistency, and compliance with organizational policies.

- Collaborate with data scientists and analytics teams to provision and prepare data for advanced analytics, machine learning, and reporting needs.

- Ensure data security, encryption, and access control policies are enforced in the Azure environment.

- Troubleshoot and resolve issues related to data ingestion, transformation, and workflow failures in Databricks and ADF.

- Monitor and manage job execution and pipeline performance in Databricks and ADF, ensuring availability and efficiency.

- Mentor junior engineers and provide guidance on best practices for Databricks, ADF, and Azure cloud services.

(ref:hirist.tech)

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