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2 Weeks ago

Lead Data Engineer

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Hyderabad, Telangana, India
Information Technology
Full-Time
Arting Digital

Overview

Position name :Lead Data Engineer

Experience :8+ Years

Notice period:Immediate to 15 Days

Budget:UP TO 30 LPA.

Location :Hyderabad, Ahmedabad, Indore

Skills set :Power BI, SQL, ADF, Microsoft Fabric(Optional), DAX, least 2-3 years leading a team or working as Technical Lead

Role and responsibilities:

  • Develop and maintain data pipelines using Azure Data Factory (ADF) /Databricks for data integration and ETL processes.
  • Design, implement, and optimize Power BI /Fabric 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.
  • Support data visualization and reporting tools, including Power BI, to enable business
  • stakeholders to make data-driven decisions.
  • Write clear, efficient, and maintainable code for data transformations and automation.

Required Qualifications:

  • Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
  • 7+ years of 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.
  • Ability to troubleshoot and optimize data pipelines for performance and reliability.
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