Bangalore, Karnataka, India
Information Technology
Full-Time
Cloudesign
Overview
Role : Azure Data Engineer
Location : Bangalore (JP Nagar Hybrid Model)
Exp : 7- 9 Years
Education : Description :
Location : Bangalore (JP Nagar Hybrid Model)
Exp : 7- 9 Years
Education : Description :
- Overall, 7 to 9 years of experience in cloud data and analytics platforms such as AWS, Azure, or GCP.
- Including 3+ years experience with Azure cloud Analytical tools is a must.
- Including 5+ years of experience working with data & analytics concepts such as SQL, ETL, ELT, reporting and report building, data visualization, data lineage, data importing & exporting, and data warehousing.
- Including 3+ years of experience working with general IT concepts such as integrations, encryption, authentication & authorization, batch processing, real-time processing, CI/CD, automation.
- Advanced knowledge of cloud technologies and services, specifically around Azure Data Analytics tools.
- Azure Functions (Compute)
- Azure Blob Storage (Storage)
- Azure Cosmos DB (Databases)
- Azure Synapse Analytics (Databases)
- Azure Data Factory (Analytics)
- Azure Synapse Serverless SQL Pools (Analytics)
- Azure Event Hubs (Analytics Realtime data)
- SQL
- Python
- PySpark
- Experience in data streaming technologies such as Kafka or Azure Event Hubs.
- Experience in handling unstructured streaming data is highly desired.
- Knowledge of Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing Dimensions.
- Broad understanding of data engineering methodologies and tools, including Data warehousing, DevOps/DataOps, Data ingestion, ELT/ETL and Data visualization tools.
- Knowledge of database management systems, data modelling, and data warehousing best practices.
- Experience in software development on a team using Agile methodology.
- Knowledge of data governance and security practices.
- Develop and implement strategies for processing and analysing large volumes of IoT data, ensuring scalability and performance.
- Design, develop, and maintain streaming and batch data pipelines in Azure cloud environment.
- Participate in the planning and prioritization of development tasks, ensuring efficient use of resources and timely delivery of projects.
- Collaborate with data analysts and data scientists to understand their data requirements and develop solutions to meet their needs.
- Optimize and tune data pipelines for performance and scalability.
- Develop and maintain monitoring and alerting solutions to ensure data quality and availability.
- Collaborate with our Platform team to ensure data analytics infrastructure is secure, reliable, and highly available.
- Continuously research and evaluate new tools and technologies to improve data processing and analytics capabilities.
- Conduct code reviews to ensure adherence to coding standards and best practices.
- Capture and document data lineage, metadata, and data dictionaries to ensure comprehensive data governance.
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