Chief Cloud Data Architect

1 week ago

Anand, Gujarat, India beBeeCloudDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Optimize your skills in cloud data engineering to spearhead the migration of an on-premises Enterprise Data Warehouse to a modern cloud-based data platform using Azure Cloud data tools and Snowflake.

Key Responsibilities:
  • Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS 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.
Required Skills and 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.
Benefits:
  • Opportunity to work with cutting-edge cloud technologies.
  • Chance to develop expertise in data engineering and leadership.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.
Others:
  • Certification in Azure or Snowflake is preferred.
  • Prior experience working with automated ETL conversion tools used during cloud migrations is a plus.
  • Experience with data modeling and database design is desirable.
  • Knowledge of data governance and data quality best practices is essential.
  • Familiarity with other cloud platforms (e.g., AWS, Google Cloud) is beneficial.

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