Cloud Engineer

3 weeks ago


Bengaluru, India Andor Tech Full time

Experience Required: 5+ Years

Immediate Joiners Preferred: Max 15 Design, deploy, and maintain cloud-based solutions on the Azure platform, including Azure Databricks, Azure Data Factory, Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.

- Develop and optimize software applications and scripts using Python, SQL, PySpark, and Unix scripting to automate tasks and enhance efficiency.

- Utilize ETL tools such as Azure Data Factory and DataStage for data integration, transformation, and loading processes.

- Work with big data technologies, particularly Apache Spark, for large-scale data processing and analytics tasks.

- Manage and administer database systems including Teradata, Netezza, MySQL, and PostgreSQL, ensuring performance, reliability, and security.

- Implement version control and collaboration using Git, GitHub, and Azure DevOps for managing code repositories and facilitating team collaboration.

- Collaborate closely with cross-functional teams including developers, data engineers, and system administrators to deliver high-quality solutions.

- Troubleshoot technical issues, perform root cause analysis, and implement timely resolutions to minimize downtime and ensure system stability.

- Stay updated on industry trends, best practices, and emerging technologies in cloud computing, big data, and related fields.

Mandatory Skills:

- Cloud Platforms: Azure (Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics)

- Programming Languages: Python, SQL, PySpark, Unix Scripting

- ETL Tools: Azure Data Factory, DataStage


- Big Data Technologies: Apache Spark

- Database Systems: Teradata SQL, Netezza, MySQL, PostgreSQL

- Version Control: Git, GitHub, Azure DevOps

(ref:hirist.tech)
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