Azure DataLake Platform Engineer

Found in: Adzuna IN C2 - 2 weeks ago


Anywhere in IndiaMultiple Locations, IN LotusOne Talent Solutions Full time

Job Description :

  • Help design the Data Lake implementation based primarily on Azure services such as Fabric, OneLake, Azure Data Warehouse, ADF, Power Automate, etc..
  • Collaborate with IT on location of data lake implementation within overall Azure landscape, leveraging IT services for security architecture, resource tagging, consumption reporting, cost management etc..
  • Administer and operate the data lake, overseeing utilization, optimization, administration, cost management and internal operational reporting
  • Utilize scripting and development skills in languages such as Python, Java, and other relevant languages to enhance data processing and manipulation.
  • Demonstrate expertise in Azure services, ensuring efficient data storage, data ingestion, data transformation, and data analytics.
  • Work with Terraform to provision and manage cloud infrastructure in Azure.
  • Implement GitHub Actions for automated workflows and integrations.
  • Develop and integrate APIs to enable smooth data communication and interaction with external systems.

Required Skills and Qualifications :

  • Strong knowledge and experience with Azure services, including AKS, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics.
  • Proficiency in continuous integration and continuous deployment (CI/CD) methodologies and tools.
  • Solid scripting and development skills, with expertise in Python and Java.
  • Experience with Terraform for managing cloud infrastructure.
  • Familiarity with GitHub Actions for automated workflows and integrations.
  • Understanding of API development and integration.
  • Excellent problem-solving abilities and a proactive approach to troubleshooting and optimising data engineering processes.
  • Strong communication skills and the ability to work collaboratively in a team environment.

Preferred Qualifications :

  • Previous experience in designing and implementing data engineering solutions in a cloud environment.
(ref:hirist.tech)
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