Description:

Conduct gap analysis and data mapping across 80+ ERP systems to identify integration challenges.
Design and develop ETL pipelines and data transformation processes for Microsoft Fabric.
Build data quality frameworks and validation rules for AI and analytics workloads.
Lead implementation of ETL standards and best practices for multi-source integrations.
Develop data models for unified, AI-ready data architecture.
Mentor team members on ETL development and Fabric-specific practices.
Collaborate with stakeholders to document data lineage and integration patterns.
Troubleshoot data inconsistencies to maintain data integrity.

Requirements:

Advanced proficiency in SQL for data transformations and performance tuning.
Strong Python expertise for automation and ETL orchestration.
Experience in designing and implementing ETL solutions in complex environments.
Proven experience with enterprise ERP systems and data integration.
Solid understanding of Azure ecosystem and Microsoft Fabric.
Knowledge of data modeling principles for AI and analytics use cases.
Experience with data quality assessment and validation frameworks.
Excellent problem-solving and communication skills.
5+ years of experience in Data Engineering with expertise in data modeling and ETL development.

Learning opportunities including certifications in AWS, Databricks, and Snowflake.
Access to AI learning paths and Udemy Business courses.
Travel opportunities to industry conferences.
Career development plans and mentorship programs.
Special day rewards for personal milestones.
Flexible working options for work-life balance.
Statutory benefits including social security, vacation premium, and remote work bonus.

Skills

Benefits