Architect - Data Engineering

Job Description

Role: Architect - Data Engineering

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Location: New York City, NY (Hybrid)

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Experience: 10-14 Years

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Job description

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Skills: Data Architect, GenAI Architect, Hadoop, Snowflake, GenAI Engineer, Hadoop

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• Architect - Data Engineering, with Finance domain having 10-14 years of experience is expected to demonstrate advanced proficiency in specialized skills.

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• A strong background in Snowflake is essential for scalable data storage and efficient analytics.

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• Candidates should leverage Snowflake's features to optimize data workloads and ensure seamless integration with existing systems.

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• Expertise in Hadoop is crucial for handling large datasets and implementing distributed data processing frameworks.

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• The ability to design and manage data architecture within a Hadoop ecosystem will drive data-driven decisions.

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• Proficiency in GenAI Engineering and Architecture is increasingly important for creating innovative solutions powered by artificial intelligence.

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• Candidates should possess strong analytical skills and a comprehensive understanding of data management principles to ensure data accessibility, reliability, and security.

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• Education requirements include a Master of Technology (M.Tech) in Data Science or Big Data and a Bachelor of Engineering (B.E) in Computer Science or Information Technology.

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• Preferred certifications include the Certified Data Management Professional (CDMP) and the SnowPro Advanced Certification from Snowflake.

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