UST
Website:
ust.com
Job details:
Role Description
14659-Senior Data Engineer - Analytics & BI-Bengaluru-8 - 10 Years
Job Code
14659
Locations
Bengaluru
Minimum Experience
8
Maximum Experience
10
Mandatory Skills
Azure Data Factory,SQL Server,Power BI,Azure data fac
Skill to Evaluate
Azure Data Factory,SQL Server,Power BI,Azure data fac
Experience
8 to 10 Years
Location
Bengaluru
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
Bachelors or Engineering Degree (Computer science)
Job Title
Senior Data Engineer - Analytics & BI
Roles & Responsibilities
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 / 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, 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 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.
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.
- Exposure to Agile methodologies and working in cross-functional teams.
Project Details
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.
Shift Timings
Uk Shift
Screening Parameters(mandatory as front page of resume)
- Total Experience:
- Exp in Azure Data Factory (ADF):
- Exp in SQL Server:
- Exp in Power BI:
- Exp in Azure Synapse / Fabric:
- Exp in Python / PySpark:
Skills
azure data factory,sql server,power bi,powershell,power automate,python,
Click on Apply to know more.