Azure Data Engineer

Responsibilities:

• As part of our Miracle Soft Data Practice and Analytics group, the Data Engineer will participate in the design, development, and maintenance of end-to-end Business Intelligence solutions with Microsoft’s BI Stack.
• The role will involve working with technical and business teams to understand KPIs and Metrics towards building the semantic layer and ensuring that the data is available within the DW.
• The Azure Data Engineer will prioritize work in alignment with business objectives and strategies and think like an entrepreneur when addressing various client challenges.

Qualifications:

• 7+ years experience working in a data function where the primary responsibility is working with data, database design, data development, and ETL is the primary responsibility.
• Help developers understand the business requirement and develop detail technical solution specifications while working with Business, Solution, Technical, and Data Architectures teams.
• Participate in the analysis, design, and development of systems, including logical and physical data modeling, database design, database creation, and evaluation of data and information requirements for new applications and reports.
• Conduct technical discovery, identifying pain points, business, and technical requirements.
• 2-3 years of experience working on Data bricks, Azure Data Factory, Azure Synapse Analytics, and other Azure data solutions ecosystems 
• 2 years of development experience in Snowflake, Azure SQL DW, or Big Query.

Key Skills:

• Programming and Scripting Languages. 
• Cloud Platform Skills. 
• Data Integration and ETL Tools.
• Data Pipeline Development. 
• Data Quality and Testing.
• Data Security and Compliance. 
• Database Administration Skills.

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