We are looking for a highly skilled Data Engineer with a strong background in designing, building, and maintaining scalable data pipelines and business intelligence solutions. The ideal candidate should have a solid mix of hands-on experience in Azure cloud services, SQL development, data integration, and reporting tools to support data-driven decision-making across the organization.

Key Responsibilities :

- Design, develop, and manage end-to-end data pipelines using Azure Data Factory (ADF) for efficient ETL/ELT processes.

- Develop, deploy, and monitor scalable data solutions using Azure Synapse Analytics or Databricks to support large-scale data processing and analytics.

- Write optimized SQL Server scripts, stored procedures, and views to support data transformation and integration requirements.

- Build and maintain insightful dashboards and reports using Power BI, with a focus on usability, performance, and clear data communication.

- Develop automation scripts using PowerShell for operational and monitoring tasks across Azure services.

- Create automated workflows using Power Automate to streamline manual tasks and notifications.

- Leverage Python or PySpark for data manipulation, transformation, and orchestration within Synapse or Databricks environments.

- Collaborate with business stakeholders, data analysts, and application developers to gather requirements and deliver high-quality solutions.

- Perform root cause analysis, data validation, and ensure data integrity across systems and processes.

- Participate in code reviews, design discussions, and documentation efforts to ensure best practices and knowledge sharing.

- Ensure security, compliance, and governance in all data engineering activities.

Required Skills and Qualifications :

- 6 - 8 years of experience in data engineering, data analytics, or business intelligence roles.

- Strong proficiency in Azure Data Factory, SQL Server, and Power BI.

- 2+ years of hands-on experience with Azure Synapse Analytics or Databricks and Python for data transformation and analysis.

- Experience with PowerShell scripting for automation and Power Automate for workflow integration.

- Strong understanding of data warehousing concepts, data modelling, and performance tuning.

- Excellent analytical and problem-solving abilities.

- Strong communication skills and ability to effectively engage with both technical and non-technical stakeholders.

Preferred Qualifications (Nice to Have) :

- Experience with Azure Data Lake Storage (ADLS) and Delta Lake.

- Knowledge of DevOps, CI/CD pipelines, and version control systems (e.g., Git).

- Familiarity with data governance, security best practices, and compliance standards (e.g., GDPR, HIPAA).

- Exposure to Agile methodologies and working in cross-functional teams.