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Senior Cloud Architect

2 weeks ago

Morādābād, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 21,00,000
Cloud Data Engineer

A cutting-edge role that requires expertise in designing, developing, and maintaining large-scale data pipelines using cloud-based technologies.

The ideal candidate will have strong knowledge of distributed data processing frameworks, experience working with big data tools such as Apache Spark, and proficiency in Python programming language.

They should also be familiar with Microsoft Azure cloud services and have a solid understanding of data modeling principles.

Key Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory and Databricks.
  • Integrate and manage structured and unstructured data from diverse sources, including Azure Cosmos DB and Azure Synapse Analytics.
  • Implement IoT data ingestion, processing, and analytics solutions using Azure IoT services.
  • Develop and deploy automation scripts for data transformation and analytics workflows.
  • Create dashboards and visualizations to support data-driven decision-making (e.g., Power BI).
  • Collaborate with cross-functional teams to gather requirements, optimize pipelines, and ensure high data quality.
  • Ensure solutions follow security, compliance, and data governance best practices.

Mandatory Skills:

  • Apache Airflow
  • Apache Spark
  • Python
  • Azure Cosmos DB
  • Azure Data Factory
  • Azure IoT
  • Azure Synapse Analytics
  • Azure Data Lake
  • Data bricks

Required Experience & Qualifications:

  • 5+ years of experience in data engineering or related field.
  • Strong SQL skills and experience with data modeling.
  • Proficiency in distributed data processing frameworks.
  • Experience working in Microsoft Azure cloud environments.
  • Strong problem-solving skills and ability to work with large-scale datasets.

Preferred Skills:

  • Experience with AI/ML integrations into analytics pipelines.
  • Familiarity with real-time data streaming solutions (Kafka, Event Hubs).