
Senior Data Warehouse Engineer
1 week ago
**Data Engineer Role Description**
This is a critical position for designing, developing, and maintaining data infrastructure. As a Data Engineer, you will play a key role in ensuring the availability, scalability, and reliability of our data systems.
**Key Responsibilities:**
- Data Pipelines and ETL Processes: Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
- Data Modeling and Database Schemas: Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.
- Performance Optimization: Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
- Data Quality and Integrity: Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
**Requirements:**
- Bachelor's Degree: Bachelor's degree in Computer Science, Engineering, or a related field.
- Experience: At least 6 years of experience as a Data Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
- Technical Skills: Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
**Benefits and Opportunities:**
- Collaborative Work Environment: Join a dynamic team and work closely with cross-functional teams to deliver high-quality results.
- Professional Growth and Development: Explore new opportunities to learn and grow every day.
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