Lead Data Engineer

2 weeks ago

Hyderabad, Telangana, India Arting Digital Full time

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.

(ref:hirist.tech)

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