Mandatory Skills : Azure Data Factory, Azure Synapse, Analytics powerBI, Power Automate, Python
Interview mode- 1st round Virtual and 2nd round F2F
Location : Bengaluru- Hybrid
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
- Data Engineering Analyst
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.
Project Details :
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 organisation.
Project Duration
Long Term
Shift Timings - UK shift
Data Engineering Analyst - Business Intelligence Solutions • Bangalore
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