
Senior Data Engineering Professional
2 weeks ago
Unlock your full potential as a skilled Data Engineering professional and make a meaningful contribution to our organization.
About the Role- Leverage your expertise in designing and developing data pipelines, DevOps processes, and end-to-end solutions using Azure cloud technologies.
- Collaborate closely with cross-functional teams to translate business requirements into technical deliverables.
We're seeking an experienced Senior Data Engineer to join our team. If you have a passion for innovation and a drive to succeed, this is the ideal opportunity for you.
Key Responsibilities:
- Develop and maintain scalable data pipelines using Azure Databricks and PySpark.
- Design and implement efficient ETL processes using Azure Data Factory.
- Mentor junior team members and contribute to knowledge sharing across departments.
Requirements:
- At least 5-6 years of experience in designing and developing data warehouses and ETL tools using Azure technologies.
- Strong expertise in Azure Databricks, Azure Data Factory, and PySpark.
- Bachelor's degree in a relevant field.
Preferred Qualifications:
- Experience with CI/CD tools, such as GitHub, Jenkins, and Azure DevOps.
- Knowledge of BI tools, such as PowerBI.
We offer a comprehensive training program and opportunities for growth and development. Join our team and take the first step towards a rewarding career in data engineering.
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