Data Engineer
2 weeks ago
Key Responsibilities :
- Develop and maintain scalable data pipelines and ETL processes using Python, SQL, and other relevant technologies.
- Design and optimize data models for efficient storage and retrieval in data warehousing environments.
- Collaborate with cross-functional teams to understand data requirements and implement solutions that address business needs.
- Implement best practices for data governance, security, and compliance.
- Monitor and troubleshoot data pipelines to ensure reliability and performance.
- Stay updated with the latest trends and technologies in data engineering and apply them to improve existing systems.
Qualifications and Experience :
- Bachelor's degree in Computer Science, Engineering, or related field.
- 5-6 years of experience in data engineering or related roles.
- Proficiency in Python and SQL for data manipulation and analysis.
- Hands-on experience with AWS.
- Solid understanding of data warehousing concepts and experience with ELT methodologies.
- Familiarity with Google Cloud Platform (GCP) is a plus.
- Experience with Change Data Capture (CDC) technologies is preferred.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and collaboration skills.
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