
Analyzing and Processing Data Expert
3 days ago
As a Data Engineer, you will be responsible for analyzing and processing large datasets of structured and unstructured data.
Key Responsibilities:
- Process and analyze large volumes of structured and unstructured data.
- Collaborate with cross-functional teams to understand data bottlenecks and prioritize data ingestion.
- Develop scalable data ingestion frameworks to handle high-volume and high-variety data from multiple sources.
- Implement robust data quality control measures to detect and handle data anomalies, duplicates, and inconsistencies.
- Optimize data pipeline performance for scalability, reliability, and latency.
- Troubleshoot complex data pipeline issues and data quality problems.
Required Skills and Qualifications:
- Strong proficiency in Linux CLI tooling and AWS CLI.
- Deep understanding of common data formats such as CSV, JSON, SQL, and Excel files.
- Expertise in file encoding and related issues.
- Advanced Python scripting skills to develop custom tools.
- Exceptional problem-solving skills with the ability to troubleshoot complex data pipeline issues.
- Excellent communication and collaboration skills to work with data scientists, engineers, and senior stakeholders.
- Degree educated in Computer Science or relevant field.
- Excellent spoken and written English language skills.
- A positive, can-do approach to work with a focus on delivering commitments.
- A creative approach to problem-solving with the ability to propose innovative solutions.
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