Azure Cloud Engineer Lead

2 weeks ago

nadiad, India beBeeData Full time

Azure Data Professional OpportunityThis is a senior data role requiring extensive experience in data engineering with expertise in CI-CD, PySpark and SQL.The ideal candidate will have strong knowledge of Azure data services, including Azure DevOps, Key Vault, GIT, Jenkins and ADF.Key qualifications include 6+ years of experience in a data engineering environment and proficiency in Azure cloud technologies.We offer a diverse work environment with opportunities for growth and professional development. Work mode is hybrid, requiring both remote and on-site contributions.Main Responsibilities:Design and implement data architectures using Azure servicesDevelop and maintain data pipelines using PySpark and SQLEnsure data quality and integrity using Azure data platformsCollaborate with cross-functional teams to achieve business objectivesAbout the Role:This is a high-level position within our organization, requiring exceptional technical skills and leadership abilities.The successful candidate will have a strong track record of delivering complex data projects on time and within budget.We are looking for someone who is passionate about data engineering and has a desire to make a meaningful impact in their career.

  • Azure Cloud Solutions Engineer

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    nadiad, India beBeeDataEngineer Full time

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    nadiad, India beBeeData Architect Full time

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    Nadiad, India Tata Consultancy Services Full time

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    Nadiad, India Tata Consultancy Services Full time

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    4 days ago

    nadiad, India beBeeCloudDataEngineer Full time

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    2 weeks ago

    nadiad, India beBeeCloudInfrastructureEngineer Full time

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    2 weeks ago

    nadiad, India Tech Mahindra Full time

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    nadiad, India beBeeCloudProgramManager Full time

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    nadiad, India beBeeData Full time

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  • Cloud Data Engineering Specialist

    1 week ago

    nadiad, India beBeeDataEngineer Full time

    About Cloud Data Engineer PositionsSeeking experienced professionals to design, implement, and maintain scalable data pipelines and build robust data lakes on cloud platforms. Ideal candidates will have a strong background in AWS, Azure, and GCP, as well as hands-on experience with cloud-native ETL tools like AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP...