Azure Databricks with AI

Responsibilities

• Developing and supporting data engineering workstreams for Azure Databricks, Informatica Intelligent Cloud Services, and cloud-based data platforms
• Building and maintaining data pipelines, transformation logic, and integration flows across modern analytics environments
• Designing, testing, and tuning data models, warehouse structures, and processing jobs to support reliable reporting and analysis
• Translating client data needs into scalable technical solutions for ingestion, cleansing, validation, and delivery
• Monitoring data quality, pipeline performance, and troubleshooting activities to identify issues and refine processing logic
• Applying Microsoft Azure Databricks, Azure Data Factory, Apache Airflow, and Snowflake tools to deliver modern data modernization solutions
• Documenting technical design decisions, dependencies, and delivery status to support project coordination and stakeholder visibility
• Collaborating with cross-functional teams and mentoring junior team members through technical review and problem solving

What You Must Have

• At least a Bachelor's degree
• At least 4+ years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating hands-on Azure Databricks and IICS delivery experience
• Leveraging Azure Data Factory, Databricks, and Snowflake for pipelines
• Applying data modeling, data quality, and performance tuning methods
• Translating complex data engineering needs into client-ready deliverables
• Mentoring junior team members while navigating project ambiguity