
Cloud Data Engineer
1 week ago
Job Title: Cloud Data Engineer
About the Role:We are seeking an experienced cloud data engineer to join our team.
Key Responsibilities:- Design and implement scalable data pipelines using Azure Data Factory (ADF).
- Develop and manage Spark jobs in PySpark on Azure Databricks.
- Leverage Azure Synapse Analytics for data warehousing and SQL query optimization.
- Process real-time data streams using Apache Kafka.
- Collaborate with cross-functional teams to drive CI/CD practices.
- 5+ years of experience in cloud data engineering roles.
- Hands-on experience with Azure services, including ADF, Databricks, and Synapse Analytics.
- Strong understanding of data lake architecture and modern data warehousing principles.
- Proficiency in Python, SQL, and Spark for data manipulation and transformation.
- Exposure to CI/CD practices, including Azure DevOps and Git workflows.
- Opportunity to work with cutting-edge cloud technologies.
- Collaborative and dynamic work environment.
- Continuous learning and professional growth opportunities.
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Data Engineer
2 weeks ago
Bengaluru, Karnataka, India Bm Cloud Consultancy Full time US$ 60,000 - US$ 1,20,000 per yearWe are looking for Data engineerCandidate must have experience in data warehouse design ,database technologies, PySpark,ETL/ELT tools and frameworks,cloud data platforms,Python and Scala,data modeling techniques, undersatnding of healthcare contexts
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Os And Cloud Engineer
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Salesforce Data Cloud Developer
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Lead Cloud Development Engineer
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Salesforce Data Cloud Developer
7 days ago
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Cloud Data Engineer
2 weeks ago
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Senior Cloud Development Engineer
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Cloud Data Engineer
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Urgent Search) L1 Cloud Engineer
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Cloud Data Engineer
2 weeks ago
Bengaluru, Karnataka, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 35,00,000Job Title:Cloud Data Engineering ProfessionalAs a Cloud Data Engineering Professional, you will play a crucial role in designing and building scalable data pipelines using cloud-based technologies. Your expertise in data engineering will be leveraged to optimize Spark jobs, manage large-scale data processing, and govern data access for cloud-based data...