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-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 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.

Timing