Data Engineer
4 weeks ago
Responsibilities :
- Design, develop, and maintain robust data pipelines using Apache Spark, Python, and other relevant technologies.
- Implement data ingestion processes from various sources, ensuring data quality and integrity.
- Optimize and tune data pipelines for performance and scalability.
- Collaborate with data scientists and analysts to deploy machine learning models and support analytics initiatives.
- Work closely with DevOps teams to deploy and monitor data solutions on cloud platforms such as AWS or Azure.
- Participate in code reviews, documentation, and knowledge sharing activities.
- Stay updated with emerging technologies and best practices in data engineering and cloud computing.
Requirements :
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience as a Data Engineer or similar role.
- Strong programming skills in Python, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Proficiency in Apache Spark for distributed data processing and analytics.
- Experience with cloud platforms such as AWS (Amazon Web Services) or Azure, including services like S3, EMR, Glue, or equivalent.
- Solid understanding of database concepts and SQL.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
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