
Cloud Data Engineer
9 hours ago
We're looking for a skilled Cloud Data Engineer to design, develop and maintain scalable data pipelines using cloud-based technologies.
This role requires expertise in cloud platforms, particularly Azure Synapse, Databricks and Apache Spark.
The ideal candidate will have strong problem-solving abilities, excellent communication skills and experience working in fast-paced environments.
Main Responsibilities:
- Design and develop scalable data pipelines using cloud-based technologies.
- Integrate data from various sources and ensure data quality and consistency.
- Optimize data processing workflows for performance and cost-efficiency.
- Work with cross-functional teams to understand data requirements and deliver solutions.
- Monitor and troubleshoot issues to ensure data integrity.
Required Skills and Qualifications:
- Proficiency in Azure Synapse/Databricks and Apache Spark.
- Strong PySpark and SQL skills for data manipulation and querying.
- Familiarity with Delta Live Tables and Databricks workflows.
- Experience with ETL tools and processes.
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Minimum 2 years of work experience with Azure Synapse.
- 5 years of experience in data engineering.
Benefits:
- Opportunity to work on cutting-edge cloud-based technologies.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Other Information:
- Azure Synapse is used extensively within the organization.
- Data Engineers are expected to be highly adaptable and flexible.
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