
Highly Skilled Data Architect Position
5 days ago
As a skilled data engineer, you will play a pivotal role in our dynamic team. We are seeking an expert who possesses proficient knowledge in Spark and SQL.
Key Responsibilities:
- 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.
- 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.
Requirements:
- 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
Preferred Skills:
- Excellent problem-solving abilities.
- Strong communication and collaboration skills.
- Ability to work in a fast-paced environment and manage multiple priorities.
We value expertise, innovation, and teamwork. If you possess a passion for data engineering and are eager to take on new challenges, please consider joining us.
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