Data Engineer Azure

Job Summary:

We are seeking a skilled Data Engineer with strong expertise in the Microsoft Azure ecosystem. The ideal candidate will design build and maintain scalable data pipelines and data solutions that support business analytics reporting and advanced data use cases. This role requires hands-on experience with Azure data services data modeling and ETL/ELT processes.

Key Responsibilities

• 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

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

• ETL/ELT design patterns
• Data warehousing concepts (Star/Snowflake schema)
• Incremental loads and CDC (Change Data Capture)
• Data modeling (dimensional & normalized models)

DevOps & Automation

• Azure DevOps / CI-CD pipelines
• Git version control

Additional / Preferred Skills

• Experience with Power BI for data visualization integration
• Knowledge of data governance tools (e.g. Purview)
• Experience working in Agile/Scrum environments

Education & Experience

• Bachelors degree in Computer Science Engineering or related field
• 2-4 years of experience in data engineering or related role
• Hands-on experience with Azure data platform is required

Key Competencies

• Strong analytical and problem-solving skills
• Ability to work with large datasets efficiently
• Excellent communication and collaboration skills
• Attention to detail and data quality focus

Nice-to-Have Certifications

• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Azure Fundamentals (AZ-900)

Fortive 9 Behaviors by Level:

Influencing & Mentoring

Customer Obsessed: Champions a customer-focusedculture by anticipating evolving needs and shaping solutions that deliver long-term value.

Strategic: Drives organizational impact by using data to derive insights that inform near-term and mid-range goals

Innovation for Impact: Influences innovation through demonstrating bold thinking and experimentation in own work and coaching others to do the same.

Inspiring: Demonstrates purpose-driven impact through expertise and collaboration.

Builds Extraordinary Teams: Drives impact through collaboration and influence by fostering trust sharing expertise and aligning efforts across teams.

Courageous: Influences and leads by example through action and integritymoves quickly toward goals tackles challenges head-on and encourages open sharing of ideas without fear.

Delivers Results: Leads complex initiatives to successful completion with high standards precision and urgency.

Adaptable: Applies rigor and stays true to process while fostering adaptability within the team.

Lead with FBS: Embraces FBSand models lean principles by mentoring peers and influencing teams and going to Gembafor first-hand insights.