
Visionary Data Architect
4 days ago
The ideal candidate will have a strong background in data engineering, with expertise in ETL/data warehousing and cloud-based technologies.
Key Responsibilities:
- Design scalable data pipelines using PySpark, Python, and cloud-based technologies.
- Maintain and optimize existing data systems, ensuring high performance and reliability.
- Collaborate with stakeholders to understand business requirements and deliver high-quality data solutions.
Requirements:
- 5-8 years of experience in software development, with a proven track record in data engineering.
- High proficiency in writing idiomatic code, preferably in PySpark.
- Experience with big data technologies, including Hadoop and Spark.
- Strong analytical skills, with ability to work with unstructured datasets.
Preferred Qualifications:
- 4-6 years of experience in Data Engineering, Database management, Data structures & ETL development.
- Hands-on experience with cloud services like Amazon Web Services and Google Cloud.
Benefits
Competitive salary and benefits package, as well as opportunities for professional growth and development.
As a Senior Data Engineer, you will be responsible for designing, building, and maintaining large-scale data pipelines, data warehouses, and data models. You will work closely with cross-functional teams to ensure seamless integration of data systems and provide high-quality data products to the business.
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