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We are seeking a skilled and motivated Data Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure. You will work closely with data scientists and analysts to ensure data availability and quality for various analytical and machine learning projects.
The ideal candidate will have a strong understanding of big data technologies, ETL processes, and database management. Experience with cloud platforms like AWS, Azure, or GCP is essential.
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Responsibilities:
- Develop and optimize data pipelines for batch and real-time processing.
- Design and implement data models and schemas.
- Ensure data quality, integrity, and security.
- Collaborate with cross-functional teams to understand data needs.
- Monitor and troubleshoot data infrastructure issues.
- Stay up-to-date with emerging data technologies.
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Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Proficiency in programming languages like Python or Java.
- Strong knowledge of SQL and NoSQL databases.
- Hands-on experience with big data technologies (e.g., Spark, Hadoop).
- Experience with cloud data services (AWS, Azure, or GCP).
- Familiarity with ETL tools and techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
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