216 Data Engineer Sr/Lead 100 remote - AURIZ

Hands-on experience with Azure data platform stack: Azure Databricks, Azure Data Factory, Azure Data Lake storage, Azure DevOps, 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 DevOps 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!

Originally posted on Himalayas