Data Engineers - Associate Consultant
Bangalore, Karnataka, India
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Experience developing and deploying ETL solutions on Azure cloud using services like ADF, Notebooks, Synapse analytics, Azure functions and other services.
Ā· Familiarity with the Azure Purview for metadata management, Data Governance, Data Lineage, Data Catalog etc.
Ā· Knowledge of Azure RBAC and IAM. Understanding access controls and security on Azure Cloud.
Ā· Inclined with Microsoft vision and road map around latest tools and technologies in market.
Ā· DevOps on an Azure platform
Ā· Added advantage to have exposure to Microsoft Fabric, Microsoft Co-pilot, Gen AI fundamentals and industry supporting use cases.
Ā· Microsoft certificationās role based. (DP600, DP203,DP900, AI102, AI900..)
Ā· Microsoft Powerbi hands on and working knowledge, to create reports/dashboards and generate insights for business users.
Primary Roles and Responsibilities
An Azure Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using Azure cloud services. This includes creating data pipelines, integrating data from various sources, and implementing data security and privacy measures. The Azure Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency.
Preferred Skills
- Experience developing and deploying ETL solutions on Azure cloud using services like ADF, Notebooks, Synapse analytics, Azure functions and other services.
- Familiarity with the Azure Purview for metadata management, Data Governance, Data Lineage, Data Catalog etc.
- Knowledge of Azure RBAC and IAM. Understanding access controls and security on Azure Cloud.
- Inclined with Microsoft vision and road map around latest tools and technologies in market.
- DevOps on an Azure platform
- Added advantage to have exposure to Microsoft Fabric, Microsoft Co-pilot, Gen AI fundamentals and industry supporting use cases.
- Microsoft certificationās role based. (DP600, DP203,DP900, AI102, AI900..)
- Microsoft Powerbi hands on and working knowledge, to create reports/dashboards and generate insights for business users.
Completed undergraduate degree with outstanding academic credentials (preferably a technical undergrad degree e.g. Computer Science, Engineering)Relevant work experience between 3 to 7 years.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Azure Computer Science Data governance Data pipelines DevOps Engineering ETL Generative AI Pipelines Power BI Privacy Security
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