Senior Data Engineer
1 week ago
We are seeking an experienced Senior Big Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with expertise in designing and implementing scalable and high-performance big data systems.
The successful candidate will work closely with cross-functional teams to deliver high-quality solutions that meet the needs of our business stakeholders. This includes collaborating with data scientists, software engineers, and product managers to develop and deploy data-driven applications.
In addition to technical skills, the selected candidate will possess excellent communication and problem-solving skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
Key Responsibilities- Data Engineering: Design, implement, and maintain large-scale data pipelines and architectures using technologies such as Hadoop, Spark, and cloud-based platforms.
- System Integration: Collaborate with internal stakeholders to integrate data from various sources, including cloud storage, databases, and APIs.
- Quality Assurance: Develop and execute automated tests to ensure the quality and reliability of data processing systems.
- Education: Bachelor's degree in Computer Science, Information Systems, or related field.
- Experience: Minimum 5 years of experience in data engineering, software development, or related field.
- Skills: Proficiency in programming languages such as Java, Python, and Scala; experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
$78,900 - $146,000 per year, depending on qualifications and experience.
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