Data Engineer
3 weeks ago
As a Data Engineer, the associate will play a crucial role in managing data engineering and pipeline infrastructure for processing, analyzing, and retrieving large streams of data. The associate will be responsible for developing and maintaining data pipelines, ensuring data quality, and supporting data-driven decision making.
Minimum 7+ Years Of Experience Needed
Responsibilities:Data Engineering: Manage and maintain data engineering infrastructure, including Azure Data Factory and related tools.Data Acquisition: Develop pipelines to acquire data from various sources like COSMOS, EDL, SQL, and EventHub.Data Processing: Build and maintain data pipelines, ensuring data quality and verification.Data Integration: Integrate data with other systems like Office Insights for cross-selling and upselling purposes.Data Analysis: Analyze data to extract insights and support decision-making.Data Sharing: Enable data sharing through COSMOS, Data Factory, and Power BI.Process Improvement: Identify and suggest improvements to the data engineering infrastructure based on domain knowledge.Skills and Qualifications:Strong understanding of data engineering principles and practices.Proficiency in Azure Data Factory and related tools.Knowledge of data acquisition techniques from various sources.Expertise in data processing, analysis, and visualization.Experience with data quality and verification methods.Ability to work with SQL and other relevant scripting languages.Familiarity with data sharing mechanisms like COSMOS, Data Factory, and Power BI.Understanding of data integration with other systems.Strong analytical and problem-solving skills.Ability to work independently and as part of a team.Additional Qualifications (Preferred):Experience with Nitro and Pipeline Studio within Microsoft.Proficiency in building Power BI dashboards.
Sowmya JayamRMG | Support Lead | Microsoft BUEmail:
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