- 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 largescale 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 crossfunctional teams including developers, data engineers, and system administrators to deliver highquality 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.
- 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
- Database Systems: Teradata SQL, Netezza, MySQL, PostgreSQL
- Version Control: Git, GitHub, Azure DevOps
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Cloud Engineer - bangalore, India - Andor Tech
Description
Experience Required: 5+ YearsImmediate 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.
Mandatory Skills:
Big Data Technologies:
Apache Spark