HTC Global Services
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Jaipur · On-site · 3-5 Yrs · Aug 25
Information Technology Support Services · 10000+ Employees · Troy, US
HTC Global Services offers information technology (IT) services to customers in a wide range of industries. The company specializes in such areas as application development, integration, and reengineering, software testing, enterprise content management, business intelligence, and IT infrastructure management. It also sells business process automation software for such functions as content management, claims processing, and tax accounting. Founded in 1990, HTC serves customers worldwide in industries that include automotive, manufacturing, education, health care, financial services, insurance, publishing, and retail.
Hiring: Engineering
What employees say
+ The Presales department is flexible and can help with your career growth
− Other benefits apart from Salary are not great
More reviews on the company profile.
Interview experience · Data Engineer
The interview process typically includes an **HR screening**, followed by **technical rounds** covering SQL, PySpark, ADF, Databricks, and data engineering concepts. Next is a **project discussion and scenario-based roun
Average difficulty · Bengaluru · 226 reports
More interview insightsJob description
Overview
Exciting Opportunity Alert! HTC Global Services is hiring Senior Azure Data Engineer (ADF, Databricks, PySpark) for one of our premium projects.
Responsibilities
- Design, develop, and maintain scalable data pipelines using ADF and Azure Databricks
- Implement data transformation workflows using PySpark
- Work with structured and unstructured data in Azure data platforms
- Optimize data pipelines for performance, reliability, and cost efficiency
- Develop and manage Spark-based data processing frameworks
- Collaborate with stakeholders to understand data requirements and deliver solutions
- Ensure data quality, governance, and security standards are maintained
- Troubleshoot and resolve production issues in data workflows
Qualifications
- Strong experience in Azure Data Engineering stack Azure Data Factory (ADF)
- Azure Data bricks
- Hands-on experience with PySpark and Spark
- Strong SQL skills
- Good understanding of distributed data processing
- Exposure to Spark Declarative Pipelines / Lakeflow (Delta Live Tables concept)
- Knowledge of CI/CD pipelines in Azure
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