Hands -on experience with Azure data platform stack: Azure Databricks, Azure Data Factory, Azure Data Lake storage, Azure Dev Ops, Azure Functions 8+ years of experience developing enterprise big data solutions 5+ years of experience working Microsoft Azure data platform and an excellent grasp of the following: Azure Cloud Services
Experience with designing and building end -to -end pipelines (DATA PIPELINE DATA FLOW) Experience in Azure Dev Ops CI/CD Stories, Bugs, and Issue management Strong experience in shell scripting is required. Strong ETL knowledge Ability to build pipelines to process structured and semi -structured data. Ability to work within an agile team




Requirements • Development of Data Ingestion & Transformation Pipelines • Development of Complex Data Ingestion & Transformation Pipelines • Advanced SQL Programming • Azure Data Factory • Azure Data Lake Storage • Azure Synapse Analytics or Azure Databricks • Snowflake experience is a plus • Kafka experience is a plus • Retail experience is a plus • Strong ETL and shell scripting knowledge • Advanced English
Benefits
The chance to work on innovative projects alongside leading international industry partners.
A dynamic, collaborative, and continuous learning work environment.
Competitive salary and benefits package commensurate with your experience and skills.
Work flexibility and remote work opportunities.
Professional development and growth opportunities within the organization.
Medical Insurance (Major, Minor, Life)
Performance and Training Bonuses
14+ Vacations days
All benefits according to Labor Law regulations
If you meet the requirements and are ready to embark on this exciting journey, don't hesitate to apply. We can't wait to get to know you and welcome your talent to our team! Please send your updated resume. Best of luck!

📌 216: data engineer sr/lead (100% remote) (San Pedro Tlaquepaque)
🏢 Auriz
📍 San Pedro Tlaquepaque