Senior Data Engineer - Snowflake & GenAI Lead, Abu Dhabi

NorthBay Solutions; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading data technology company is looking for a Senior Data Engineer to join their team in Abu Dhabi. This onsite position involves designing and maintaining scalable data pipelines, implementing Snowflake solutions, and optimizing ETL processes. The ideal candidate will have at least 710 years of experience in data engineering, strong proficiency in Python, and expertise in SQL and NoSQL databases. Join us for high-impact projects leveraging modern cloud technologies, shaping the future of enterprise data platforms.

Benefits

Collaborative work environment

High-impact data projects

Opportunity for professional growth

Qualifications

• 710 years of experience in data engineering.
• Proficiency in Python is mandatory.
• Experience with SQL and NoSQL databases.
• Hands-on experience with cloud data warehousing.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop and optimize ETL/ELT processes.
• Implement data models and warehouse solutions using Snowflake.
• Integrate data from diverse sources, including SQL and NoSQL.
• Ensure data quality governance across all systems.

Skills

Python proficiency

Strong SQL expertise

NoSQL database experience

Data modeling skills

ETL/ELT processes

Airflow or orchestration tools

Experience with cloud services

Data governance knowledge

ML/GenAI exposure

Tools

Snowflake

Cloud data warehousing

Data lakes

Job description

A leading data technology company is looking for a Senior Data Engineer to join their team in Abu Dhabi. This onsite position involves designing and maintaining scalable data pipelines, implementing Snowflake solutions, and optimizing ETL processes. The ideal candidate will have at least 710 years of experience in data engineering, strong proficiency in Python, and expertise in SQL and NoSQL databases. Join us for high-impact projects leveraging modern cloud technologies, shaping the future of enterprise data platforms.