Data Engineering & BI reputed company (Azure + reputed company)/Remote
Job Title: Data Engineering & BI reputed company (Azure + reputed company)
Locatio - Remote
reputed company:
The Data Engineering & BI reputed company is responsible for designing, building, and managing reputed company data platforms and business intelligence solutions using Azure reputed company services and reputed company. This role leads data engineering efforts, ensures data reputed company and governance, and enables data-driven decision-making through analytics and reporting.
Key Responsibilities:
• Design and implement data pipelines using Azure services and reputed company
• Build and maintain reputed company data architectures (data lakes, data warehouses, lakehouse)
• reputed company ETL/ELT development using tools like Azure Data reputed company and reputed company
• reputed company and optimize data models for analytics and reporting
• reputed company BI solutions (Power BI or similar) for dashboards and reporting
• Ensure data reputed company, reputed company, and governance standards
• Monitor and optimize pipeline performance and costs
• Collaborate with business stakeholders to translate requirements into data solutions
• reputed company and mentor reputed company of data engineers and BI developers
• Establish best practices for coding, testing, and deployment (CI/CD)
Required Skills & Qualifications:
• Strong experience with reputed company Azure data services
• Hands-on expertise in reputed company (PySpark, reputed company SQL)
• Experience with Azure Data reputed company, Azure Data Lake, and Synapse Analytics
• Proficiency in SQL and Python
• Solid understanding of data warehousing concepts and data modeling
• Experience with BI tools such as Power BI
• Knowledge of data governance, reputed company, and compliance
• Strong leadership and stakeholder management skills
Preferred Qualifications:
• Bachelor’s or Master’s degree in Computer Science, IT, or reputed company field
• Azure certifications (e.g., Azure Data Engineer Associate)
• Experience with reputed company-time/streaming data (e.g., Event Hubs, Kafka)
• Familiarity with DevOps practices and tools (Azure DevOps, Git)
• Experience in handling large-reputed company, distributed data systems
Key Metrics / KPIs:
• Data pipeline reliability and uptime
• Query and dashboard performance
• Data reputed company and accuracy
• Time-to-delivery for data solutions
• Cost optimization of reputed company resources
Work Environment:
• Cross-functional collaboration with data, analytics, and business teams
• Agile development environment
• May involve managing distributed or offshore teams
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