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2 days ago
As a data engineer, you will design and maintain highly available data and analytics platforms. Your expertise will be crucial in building and deploying scalable data architectures that meet our business needs.
Required Skills and Qualifications- Cloud Expertise: Hands-on experience with AWS or similar cloud platforms in building data engineering solutions for analytics and science is essential.
- Data Pipeline Development: Experience in building complex data pipelines – batch and/or real-time event-based processing is required.
- Data Warehousing: Strong experience in designing, building, and maintaining data warehouses in Redshift or similar cloud-based solutions is necessary.
- ETL Development: Built complex ETL using Spark (Scala or Python) for event-based big data processing.
- Database Management: Familiarity with modern scripting languages like Python is essential. NoSQL DBs like MongoDB, Cassandra, or DynamoDB require your attention.
Working as a data engineer at our organization comes with numerous benefits, including the opportunity to work on challenging projects, collaborate with experienced professionals, and grow your career in the field of data engineering.
OthersWe are committed to providing a supportive and inclusive work environment that fosters innovation, creativity, and teamwork. Our goal is to attract talented individuals who share our passion for data engineering and are eager to contribute to our mission.
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