
Cloud Data Engineer
2 weeks ago
We are seeking a highly skilled data engineer to join our team.
The ideal candidate will be responsible for designing, implementing and optimizing data pipelines on our data platform.
- Data Pipeline Development: Design, develop and maintain scalable data pipelines using Azure Synapse, Databricks & Apache Spark (PySpark).
- Data Integration: Integrate data from various sources, ensuring data quality and consistency.
- Performance Optimization: Optimize data processing workflows for performance and cost-efficiency.
- Cross-Functional Collaboration: Work with data architects, analysts, and product owners to understand data requirements and deliver solutions.
- Monitoring and Troubleshooting: Monitor data pipelines and troubleshoot issues to ensure data integrity.
- Documentation: Document data workflows, processes and best practices.
- 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.
- Excellent problem-solving abilities.
- Strong communication and collaboration skills.
- Ability to work in a fast-paced environment and manage multiple priorities.
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