VAM Systems
Data Engineer (Offshore)
🇧🇭 Manama, Bahrain🏢 On-site
Data EngineeringCloud Data EngineeringBig DataSparkHadoopAzureAWSGCP
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VAM Systems
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 toolsJob 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 CollaborationThe selected candidates shall join VAM Systems - Bahrain and shall be deputed to one of the leading Banks in Bahrain.
Requirements
- •7-10 years of experience
- •Bachelor's Degree in Computer Science or Engineering
- •Experience in Data Engineering on Cloud
- •Knowledge of Big Data Architecture
- •Experience with AI/ML Data Pipelines
- •Proficiency in SQL, Python
- •Familiarity with data modeling and warehousing
- •Experience with cloud platforms (Azure, AWS, GCP)
Nice to Have
- •Google Cloud Certified – Professional Data Engineer or equivalent
- •Understanding of data governance and security
- •Ability to support AI/ML model deployment
- •Agile DevOps skills
- •Collaboration skills
Responsibilities
- •Design and implement scalable data pipelines for AI banking initiatives
- •Collaborate with data scientists on data preparation for model training
- •Develop and maintain data lake and data warehouse solutions
- •Ensure data quality, integrity, and security
- •Integrate data from various sources
- •Optimize data workflows for performance and cost efficiency
- •Support real-time and batch data processing
- •Implement data governance policies and metadata management
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60 seconds. $3.99 one-time.
Benefits Package
🏠Housing
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🏥Medical
🎓Education
🚗Transport
💰Gratuity
🎯Bonus
📦Relocation
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