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 Bachelor’s 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-focused culture 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 integrity—moves 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 FBS and models lean principles by mentoring peers and influencing teams, and going to Gemba for first-hand insights.