Senior Cloud Data Platform Specialist

20 hours ago

Alleppey, Kerala, India beBeeDataEngineering Full time ₹ 18,00,000 - ₹ 24,00,000
Cloud Data Engineering Leader Opportunity

Seek a seasoned leader in Cloud Data Engineering to manage and lead the migration of an on-premises Enterprise Data Warehouse to a modern cloud-based data platform.

  • Key Responsibilities:
  • Design, develop, and implement data platform solutions using Azure Data Factory, Self-hosted Integration Runtime, Logic Apps, Azure Data Lake Storage Gen2, Blob Storage, Databricks, and Snowflake.
  • Manage and guide the development of cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake.
  • Implement and oversee DevOps practices and CI/CD pipelines using Git Actions.
  • Collaborate with cross-functional teams to ensure seamless integration and data flow.
  • Optimize and troubleshoot data pipelines and workflows.
  • Ensure data security and compliance with industry standards.
  • Provide technical leadership and mentorship to the engineering team.

Preferred Qualifications:

  • Certification in Azure or Snowflake.
  • Prior experience working with automated ETL conversion tools used during cloud migrations (Snow Convert, Blade Bridge, etc).
  • Experience with data modeling and database design.
  • Knowledge of data governance and data quality best practices.
  • Familiarity with other cloud platforms (e.g., AWS, Google Cloud).

Required Qualifications:

  • Minimum of 8+ years of experience in a Cloud Data Engineering role, with at least 3 years in a leadership or technical delivery role.
  • Hands-on experience with Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage), Databricks, and Snowflake.
  • Strong experience in developing cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake.
  • Proficiency in DevOps and CI/CD practices using Git Actions.
  • Experience with Python or other scripting languages for data processing.
  • Excellent problem-solving skills and ability to work independently.
  • Strong communication and collaboration skills. Strong analytical skills and attention to detail.
  • Proven track record of successful project delivery in a cloud environment.
  • Experience with Agile methodologies and project management tools

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