Unlock Career Opportunities in Cloud Data Engineering
As a cloud data engineer, you will play a pivotal role in designing and developing scalable ETL/ELT pipelines using Azure Data Services.
The ideal candidate will have expertise in building high-performance data processing solutions with Apache Spark (PySpark) on Azure Databricks.
You will collaborate closely with data scientists, analysts, and stakeholders to deliver clean, reliable datasets that meet business requirements.
In this exciting role, you will optimize data workflows for performance and cost efficiency in a cloud environment, implement best practices around data security, governance, and compliance, and develop CI/CD pipelines for data engineering workflows.
* Data Engineering Expertise:
* Design and develop scalable ETL/ELT pipelines using Azure Data Services.
* Build high-performance data processing solutions with Apache Spark (PySpark) on Azure Databricks.
* Collaborate with data scientists, analysts, and stakeholders to deliver clean, reliable datasets.
* Optimize data workflows for performance and cost efficiency in a cloud environment.
* Implement best practices around data security, governance, and compliance.
* Develop CI/CD pipelines for data engineering workflows.
* Monitor, troubleshoot, and enhance existing data solutions for reliability and performance.
We Offer:
A dynamic work environment that fosters collaboration and innovation.
Opportunities for professional growth and development.
A competitive salary and benefits package.
About This Job:
This is a fantastic opportunity for experienced data engineers to take their skills to the next level.
As a cloud data engineer, you will be responsible for designing, developing, and maintaining scalable ETL/ELT pipelines using Azure Data Services.
You will work closely with cross-functional teams to deliver high-quality data solutions that meet business needs.
We are looking for talented individuals who can bring their expertise and passion for data engineering to our team.
Requirements:
Data Engineering Experience:
* At least 3 years of experience in data engineering.
* Expertise in designing and developing scalable ETL/ELT pipelines using Azure Data Services.
* Strong understanding of Apache Spark (PySpark) and Azure Databricks.
* Experience with data governance, security, and compliance.
* Proficiency in developing CI/CD pipelines for data engineering workflows.
Skills:
* Strong understanding of data engineering principles and practices.
* Excellent problem-solving and analytical skills.
* Ability to communicate complex technical concepts effectively.
* Strong teamwork and collaboration skills.
Educational Background:
* Bachelor's degree in Computer Science, Information Technology, or related field.
Licenses/Certifications:
* Certification in Azure Data Engineer or related field.
What We Offer:
A dynamic work environment that fosters collaboration and innovation.
Opportunities for professional growth and development.
A competitive salary and benefits package.