
Data Engineering Specialist
2 days ago
Data Engineer Opportunity
Are you a skilled data engineer looking for a challenging role? We are seeking an experienced professional to join our team as a Data Engineer. In this position, you will be responsible for designing, developing, and maintaining scalable data pipelines using Azure Synapse, Databricks & Apache Spark (PySpark).
- Data Pipeline Development: You will design, develop, and maintain scalable data pipelines using Azure Synapse, Databricks & Apache Spark (PySpark) to ensure efficient data processing and storage.
- Data Integration: You will integrate data from various sources to ensure data quality and consistency.
- Performance Optimization: You will optimize data processing workflows for performance and cost-efficiency.
- Collaboration: You will work with data architects, analysts, and product owners to understand data requirements and deliver solutions.
- Monitoring and Troubleshooting: You will monitor data pipelines and troubleshoot issues to ensure data integrity.
- Azure Synapse/Databricks & Apache Spark: Proficiency in Azure Synapse, Databricks, and Apache Spark for data pipeline development.
- PySpark and SQL: Strong PySpark and SQL skills for data manipulation and querying.
- Delta Live Tables and Databricks Workflows: Familiarity with Delta Live Tables and Databricks workflows for data processing.
- ETL Tools and Processes: Experience with ETL tools and processes for data integration.
- Cloud Platforms: Knowledge of cloud platforms (AWS, Azure, GCP) for data storage and processing.
- Experience: Minimum 2 years of experience with Azure Synapse and 5 years of experience in data engineering.
This is a fantastic opportunity for a motivated and talented data engineer to take their career to the next level. If you have a passion for data and enjoy working on complex projects, we want to hear from you
We Offer:
- Competitive Salary: A competitive salary package that reflects your skills and experience.
- Opportunities for Growth: Opportunities for career growth and professional development.
- Benefits: A range of benefits including health insurance, retirement plans, and paid time off.
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