We are looking for a skilled Azure Cloud Data Engineer with strong expertise in Databricks, Advanced SQL
and in Pyspark programming, to join our team in BLR/Noida. The candidate will be responsible for
designing, developing, and optimizing scalable data solutions on the Azure cloud platform. You will play a
critical role in building data pipelines and transforming complex data into actionable insights by leveraging
cloud-native tools and technologies.
Responsibilities:
Design, develop, and manage scalable and secure data pipelines
using Azure Databricks
Architect and implement cloud-based data solutions, integrating
structured and unstructured data sources.
Write clean, efficient, and reusable code primarily in Python for
cloud automation, data processing, and orchestration.
Build and optimize ETL workflows and ensure seamless data
integration across platforms.
Develop data models using normalization and denormalization
techniques to support OLTP and OLAP systems.
Manage Azure-based storage solutions including Azure Data Lake
and Blob Storage.
Troubleshoot performance bottlenecks in data flows and ETL
processes.
Integrate advanced analytics and support BI use cases within the
Azure ecosystem.
Lead code reviews and ensure adherence to version control
practices (e.g., Git).
Contribute to the design and deployment of enterprise-level data
warehousing solutions
Stay current with Azure cloud technologies and Python ecosystem
updates to adopt best practices and emerging tools.
Mandatory skill sets:
Good To Have skill sets:
Understanding of OLTP and OLAP environments , Experience, with Kafka
and Hadoop , Azure Synapse Analytics , Azure, DevOps for CI/CD
integration , Agile delivery methodologies