Industry Data Research & Validation P16

About this role

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Skills you'll use

What you'll do

• Design, develop, and maintain data pipelines for ingesting, transforming, and loading data from various sources.
• Build and optimize ETL/ELT workflows using Azure-native tools.
• Work with structured and unstructured data across multiple platforms.
• Ensure data quality, integrity, and accuracy through validation and monitoring.
• Implement data modeling solutions for analytics and reporting.
• Collaborate with business analysts, data scientists, and stakeholders to understand data requirements.
• Optimize performance and scalability of data pipelines and storage.
• Ensure data governance, security, and compliance standards are met.
• Troubleshoot data issues and provide solutions proactively.
• Required Skills & Experience

Who can apply

• Core Azure Services
• Azure Data Factory (ADF) – data integration and orchestration
• Azure SQL / Azure SQL Database
• Azure Data Lake Storage Gen2
• Azure Databricks (PySpark / Spark SQL)
• Programming & Querying
• Strong SQL skills
• Python (for data processing and automation)
• PySpark / Spark (for big data processing)
• Data Engineering Concepts

About Fortive

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