Senior Data Modeler

1 week ago

Remote, India beBeeData Full time ₹ 15,00,000 - ₹ 28,00,000

Job Role:

Data Architect

We are seeking an experienced Data Architect to join our team. As a key member of our data engineering group, you will be responsible for designing and implementing scalable data models, integrating data from multiple sources, and developing efficient ETL pipelines.

Main Responsibilities:

Data Modelling & Engineering:

  • Design and implement data models using Azure Data Modeling techniques to meet business needs.
  • Create and optimize ETL pipelines using Azure Data Factory and Azure Databricks to process large datasets and integrate data from various sources.

Data Integration:

  • Integrate data from multiple platforms and databases into a cohesive environment using Azure technologies, ensuring data consistency and quality.

Data Analysis & Reporting:

  • Develop data engineering solutions to support reporting, analytics, and business intelligence tasks.
  • Analyze datasets using Python and SQL to deliver insights and reports.

Cloud Data Services:

  • Work with cloud data services within the Windows Azure ecosystem to ensure efficient data storage, processing, and retrieval.

Collaboration:

  • Collaborate with cross-functional teams, including Data Scientists, Analysts, and other Engineers, to support data-driven decision-making processes.

Performance Optimization:

  • Ensure high performance and scalability of data models, pipelines, and processes to handle growing data loads efficiently.

Documentation:

  • Maintain clear and up-to-date documentation for data engineering processes, models, and pipelines.

Requirements:

  • Minimum 5-7 years of experience in Data Engineering or related roles, with proven expertise in Azure Data Modelling, Azure Data Factory, Python, and SQL.
  • Strong knowledge and hands-on experience with Azure Data Factory, Azure Databricks, and other Azure-based data services.
  • Proficiency in SQL for data manipulation, extraction, and reporting.
  • Experience with Python for scripting and automating data-related tasks and workflows.
  • Knowledge of Windows Azure cloud infrastructure, storage, and computing services.
  • Excellent communication skills with the ability to work collaboratively in a remote team and document solutions clearly.
  • Strong analytical and troubleshooting skills to resolve data-related issues and optimize solutions.

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