Data Engineering Analyst

Minimum Experience
6
Maximum Experience
8
Mandatory Skills
Azure Data Factory Azure Synapse Analytics powerBI Power Automate Python
Skill to Evaluate
Azure Data Factory
Experience
6 to 8 Years
Job Description
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.
Education Qualificaiton
Bachelor's of Engineering in Computer science

Roles & 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 or Databricks or 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 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
 
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 Fabric 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.

Requirements