Data Engineer (Offshore) - Work From Home

 Posted 4 hours ago
     
5-10 years experience
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AI Summary

The Data Engineer will design and implement scalable data pipelines to support AI banking initiatives and collaborate with data scientists to prepare and transform data for model training. They will also ensure data quality, integrity, and security across platforms while integrating data from various sources.

Job Description

VAM Systems is currently looking for Data Engineer (Offshore) for our Bahrain operations with the following skillsets and terms & conditions:

Years of Experience 7 - 10 years

Qualification: Bachelor's Degree, Computer Science, BE Computer Science and Engineering

Tools Required: Data Engineering on Cloud, Big Data Architecture, AI/ML Data Pipelines

Professional Certifications Required: Google Cloud Certified – Professional Data Engineer or equivalent

Experience Required:

  • Ability to design and build scalable data pipelines
  • knowledge of data modeling and warehousing concepts
  • Familiarity with big data tools (e.g., Spark, Hadoop)
  • Experience with cloud platforms (e.g., Azure, AWS, GCP)
  • Ability to work with structured and unstructured data
  • Understanding of data governance and security
  • Ability to support AI/ML model deployment and data preparation
  • Proficiency in SQL, Python, and data orchestration tools

Job Responsibility:

  • Design and implement scalable data pipelines to support AI banking initiatives
  • Collaborate with data scientists to prepare and transform data for model training
  • Develop and maintain data lake and data warehouse solutions
  • Ensure data quality, integrity, and security across platforms
  • Integrate data from core banking systems, digital channels, and external sources
  • Optimize data workflows for performance and cost efficiency
  • Support real-time and batch data processing using modern data frameworks
  • Implement data governance policies and metadata management
  • Data Pipeline Development
  • Big Data Technologies
  • Cloud Data Engineering
  • SQL and Python
  • Data Modeling & Warehousing
  • AI/ML Data Preparation
  • Data Governance & Security
  • Agile & DevOps Collaboration

 

 

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