Mastering Data Engineering

5 days ago

Hyderabad, Telangana, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 25,00,000

**Job Title:** Data Engineering Lead

Key Responsibilities
  • Develop and maintain data pipelines for data integration and ETL processes using Azure Data Factory (ADF) and Databricks.
  • Design, implement, and optimize Power BI reports and dashboards to deliver actionable business insights.
  • Collaborate with data analysts, business users, and other teams to understand data requirements and deliver solutions using ADF and Power BI.
  • Extract, transform, and load (ETL) data from various sources into cloud-based storage systems such as Azure Data Lake or Azure SQL Database.
  • Work with large datasets and optimize queries and pipelines for performance and scalability.
  • Ensure data quality, integrity, and availability throughout the data lifecycle.
  • Automate repetitive data tasks, ensuring timely and accurate reporting.
  • Monitor and troubleshoot data pipelines, addressing any performance or data issues promptly.
Requirements
  • Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
  • 8+ years of hands-on experience in Data Engineering, BI Developer, or a similar role.
  • Proficiency with Azure Data Factory (ADF), including the creation of data pipelines and managing data flows.
  • Strong experience in Power BI, including report creation, dashboard development, and data modeling.
  • Experience with SQL and database management (e.g., Azure SQL Database, SQL Server).
  • Knowledge of cloud platforms, especially Microsoft Azure.
  • Familiarity with data warehousing concepts and ETL processes.
  • Experience working with cloud-based data storage solutions (e.g., Azure Data Lake, Azure Blob Storage).
  • Strong programming skills in languages such as Python, SQL, or other relevant languages.
About Our Organization

We are a dynamic and innovative team in a fast-paced, growth-oriented environment. We offer a competitive stipend and potential for growth within the organization, as well as recognized excellence in data and AI solutions with industry awards and accolades.

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