Data Engineer

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/Databricks/Microsoft Fabric 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 / 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 and 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.
Requirements:
Mandatory Skills: Azure Data Factory, SQL Server, Power BI, Azure Synapse, Fabric, and Python.

Experience
6-8 yrs