Senior Data Engineer

Overview

We are looking for a Senior Data Engineer with 3-4 years of experience to join our dynamic team immediately or within a maximum notice period of 30 days. The ideal candidate should have a strong background in data modeling, SQL, Microsoft Fabric, and Power BI, along with expertise in data governance and analytics.

Key Responsibilities:

• Design and implement data models using star and snowflake schemas, ensuring efficient data storage and retrieval.
• Write complex SQL queries for data extraction, transformation, and analysis.

Work with Microsoft Fabric to integrate, transform, and analyze data across platforms.

• Develop interactive reports and dashboards using Power BI and leverage DAX for advanced calculations.
• Ensure data governance by maintaining data quality, lineage, and compliance.

Collaborate with cross-functional teams to understand business requirements and implement scalable data solutions.

• Design and manage ETL processes for effective data preparation.Work with Azure Services (Azure Data Lake, Azure SQL Database, Azure Synapse Analytics) to enhance data processing and storage capabilities.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.

Requirements:

✅ 3-4 years of experience in Data Engineering
✅ Strong expertise in Data Modeling (dimensional modeling, normalization, denormalization)
✅ Proficiency in SQL for querying and data transformation
✅ Hands-on experience with Microsoft Fabric
✅ Knowledge of Power BI and DAX for building reports and semantic models
✅ Understanding of Data Governance principles (data quality, lineage, compliance)
✅ Experience in ETL processes and pipeline development
✅ Familiarity with Azure Data Services (Azure Data Lake, Azure SQL, Synapse Analytics)
✅ Strong analytical and problem-solving skills
✅ Excellent communication and collaboration skills

Share your updated resume with us at info@Pragathiinnovativesolutions.com.

Job Type: Permanent

Pay: ₹1,000,000.00 - ₹1,200,000.00 per year

Benefits:

• Provident Fund
• Work from home

Schedule:

• Monday to Friday
• Morning shift

Experience:

• total work: 4 years (Preferred)

Work Location: Remote