Cloud Data Engineer

3 days ago

Hyderabad, Telangana, India Intellectt Inc Full time

Key Responsibilities

At Intellectt Inc, we are seeking a highly skilled Cloud Data Engineer to join our team. The ideal candidate will have expertise in designing, developing, and maintaining large-scale data systems on Azure.

Data Modeling and Design

  • Design and implement data models, schemas, and data warehouses in Azure SQL Data Warehouse or other relevant data warehousing solutions.
  • Ensure data is organized efficiently for optimal query performance.

Data Transformation and ETL

  • Implement data transformation workflows and processes, including data cleansing, enrichment, and aggregation, using Azure Data Factory, Azure Databricks, or other ETL relevant tools.
  • Move data between systems for analytics and reporting purposes.

Data Ingestion and Integration

  • Design, develop, and maintain data pipelines for ingesting data from various sources, both structured and unstructured, into Azure data platforms.
  • Ensure data quality and reliability.

Data Storage and Management

  • Design, implement, and manage data storage solutions on Azure, including Azure SQL Database, Azure Data Lake Storage, Cosmos DB, and Azure Blob Storage.
  • Optimize data storage for performance, scalability, and cost-efficiency.

Data Security

  • Implement data security measures, including encryption, access control, and compliance with data privacy regulations like GDPR, HIPAA, etc.

Monitoring and Optimization

  • Monitor data pipelines and storage systems for performance and reliability.
  • Proactively identify and resolve issues.
  • Optimize data solutions for cost-effectiveness and performance.

Collaboration and Communication

  • Collaborate with cross-functional teams, including data scientists, analysts, and application developers.
  • Understand their data requirements and provide them with access to clean and well-organized data.

Documentation and Knowledge Sharing

  • Maintain comprehensive documentation for data pipelines, data models, configurations, processes, and storage solutions.
  • Share knowledge with the team and ensure future reference.

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