Sr. Data Engineer - Azure

We are looking for an experienced Senior Azure Data Engineer with strong expertise in building scalable cloud-based data platforms on Azure. The ideal candidate should have hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Databricks, ETL/ELT pipelines, and enterprise data warehouse solutions. The candidate will be responsible for designing, developing, and optimizing modern data engineering solutions for analytics and reporting.

Responsibilities:

• Design, develop, and maintain scalable ETL/ELT data pipelines using Azure technologies.
• Build and manage enterprise-grade data platforms using Microsoft Fabric and Azure ecosystem services.
• Develop and optimize data ingestion, transformation, and orchestration workflows using Azure Data Factory.
• Implement big data processing solutions using Azure Databricks, PySpark, and Python.
• Design and maintain data warehouse architectures and dimensional data models.
• Write complex SQL queries, stored procedures, and performance tuning for large datasets.
• Integrate structured and unstructured data from multiple data sources.
• Collaborate with business analysts, architects, and stakeholders to deliver data solutions.
• Ensure data quality, governance, security, and compliance standards are maintained.
• Monitor and troubleshoot data pipelines and optimize performance.
• Participate in code reviews, best practices, and technical mentoring.

Requirements:

• 7-10 years of experience in Data Engineering and Data Warehousing.
• Strong hands-on experience in ETL and ELT Development.
• Strong SQL and query optimization, Data Warehouse Concepts and Dimensional Modeling, Azure Data Factory (ADF), Azure Databricks, Microsoft Fabric (Mandatory), Python, and PySpark.
• Experience in handling large-scale data processing and distributed computing.
• Strong understanding of cloud-based data architectures and Azure services.
• Experience with CI/CD, version control, and deployment pipelines.
• Good analytical, problem-solving, and communication skills.

Good to Have:

• Experience with Azure Synapse Analytics.
• Exposure to Power BI and reporting tools.
• Knowledge of Delta Lake, Lakehouse architecture, and Data Governance.
• Understanding of DevOps practices in Azure.

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Microsoft Azure certifications are preferred.
• Experience working in Agile/Scrum environments.

Key Competencies:

• Strong problem-solving and debugging skills.
• Ability to work independently and collaboratively.
• Excellent stakeholder communication skills.
• Ability to manage multiple priorities in a fast-paced environment.