Data Engineer

Experience: 5–8 Years

Roles & Responsibilities

- Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure Data Factory (ADF).
- Develop and optimize data processing solutions using PySpark and Azure Synapse Analytics.
- Write complex and optimized SQL queries for data transformation, integration, and analysis.
- Build and maintain data models and datasets to support Power BI reporting and analytics.
- Implement data ingestion, transformation, and integration processes across various data sources.
- Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality.
- Collaborate with data analysts, BI developers, and business teams to deliver effective data solutions.

Required Skills
- Microsoft Fabric




- Azure Data Factory (ADF)
- PySpark
- Azure Synapse Analytics
- SQL
- Power BI
- dbt – Optional; candidates without dbt experience can also be considered.

Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- 5–8 years of relevant experience in Data Engineering / Azure Data Engineering.
- Strong hands-on experience with Azure data and analytics services.
- Positive understanding of data warehousing, ETL/ELT processes, data modelling, and cloud-based data platforms.

📌 Data Engineer (Bengaluru)
🏢 Royal Cyber
📍 Bengaluru