Highly Skilled Cloud Engineer for Large-Scale Data Platforms
hace 4 semanas
About the Role
We are seeking an experienced Senior Data Engineer to join our team at Hewlett Packard. This is a critical position that requires expertise in designing and implementing large-scale data platforms on Azure Cloud. The ideal candidate will have strong experience in data engineering, data analytics, and cloud computing.
Key Responsibilities
- Lead the design and implementation of large-scale data platforms on Azure Cloud, ensuring high availability and performance.
- Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs.
- Develop and maintain data pipelines using Apache Kafka, Apache Spark, and other relevant technologies.
- Work with data scientists and analysts to develop and deploy machine learning models.
- Ensure data quality and integrity by developing and maintaining data governance policies and procedures.
Requirements
- 7-10 years of experience in data engineering, data analytics, or a related field.
- Strong expertise in Azure Cloud, including Azure Data Factory, Azure Databricks, and Azure Data Lake Storage.
- Experience with big data technologies, including Apache Kafka, Apache Spark, and Hadoop.
- Strong programming skills in languages such as Python, Scala, and Java.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred Qualifications
- Azure Data Engineering certifications.
- Data Bricks experience.
Compensation and Benefits
The estimated salary for this role is $140,000 - $180,000 per year, depending on experience and location. We offer a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
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