The Role
Designs and maintains scalable Azure data infrastructure, including ADLS and Delta Lake architectures, ETL pipelines with Azure Data Factory and PySpark, and data warehouses using Azure Synapse Analytics. Develops Python and SQL scripts for automation, data quality, and analytics; integrates diverse data sources and collaborates with cross-functional teams to deliver reliable data solutions.
Summary Generated by Built In
Data Engineer (Azure)
Summary
We are seeking a skilled Data Engineer to design, build, and maintain robust data infrastructure within the IT Services sector. This pivotal role focuses on architecting scalable data solutions using Microsoft Azure technologies to ensure seamless data flow, integrity, and accessibility. The successful candidate will play a critical part in transforming raw data into actionable insights, supporting strategic business decisions through advanced data warehousing and analytics capabilities.
Responsibilities
- Design and implement scalable data storage and processing architectures utilizing Azure Data Lake Storage (ADLS) and Delta Lake.
- Develop and optimize complex ETL pipelines using Azure Data Factory (ADF) and PySpark to ensure efficient data movement and transformation.
- Build and manage data models and warehouses, leveraging Azure Synapse Analytics for high-performance querying and reporting.
- Construct and maintain data pipelines that integrate diverse data sources, ensuring accuracy and consistency across the ecosystem.
- Write and refine Python and SQL scripts to automate data processes, perform data quality checks, and support analytical workflows.
- Collaborate with cross-functional teams to define data requirements and deliver solutions that align with organizational goals.
Requirements
Requirements:
- Possess 4 to 9 years of professional experience in data engineering or a related technical field.
- Demonstrate deep proficiency with Azure cloud services, specifically Azure Data Lake Storage (ADLS) and Azure Synapse Analytics.
- Show strong expertise in data modeling, data warehousing concepts, and the implementation of Delta Lake architecture.
- Be highly skilled in developing ETL pipelines using Azure Data Factory (ADF) and executing big data processing with PySpark.
- Have a solid command of Python and SQL for data manipulation, scripting, and query optimization.
- Experience working within Databricks environments for collaborative data analysis and engineering is essential.
- Target compensation range is approximately ₹24 LPA, commensurate with experience and skill level.
Skills Required
- 4 to 9 years of professional experience in data engineering or a related technical field
- Proficiency with Azure cloud services, especially Azure Data Lake Storage and Azure Synapse Analytics
- Expertise in data modeling, data warehousing, and Delta Lake architecture
- Experience developing ETL pipelines with Azure Data Factory and processing big data with PySpark
- Strong Python and SQL skills for data manipulation, scripting, and query optimization
- Experience working in Databricks environments
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Vrinda International is a Chandigarh-based recruitment and education consultancy connecting job seekers and employers through domestic and international IT and non-IT hiring. It also supports students with overseas university admissions, visa applications, education guidance, and test preparation for IELTS, PTE, and other programs. Its tech-enabled talent portal provides job matching and career pathways across India and global markets, alongside staffing partnerships.
