VAM Systems
Information Technology And Services
DataEngineer(Offshore)
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“Data Engineer (Offshore) at VAM Systems. Skills: Data Engineering, Big Data Architecture, AI/ML Data Pipelines, Cloud Data Engineering. Design and implement scalable data pipelines. Prepare and transform data for model training”
Industry & Context.
What They're Looking For.
Must Have
Bachelor's Degree, 7 - 10 years experience, Google Cloud Certified – Professional Data Engineer or equivalent, Proficiency in SQL, Proficiency in Python, Proficiency in data orchestration tools
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Design and implement scalable data pipelines
Prepare and transform data for model training
Develop and maintain data lake solutions
Develop and maintain data warehouse solutions
Ensure data integrity
Integrate data from core banking systems
Integrate data from digital channels
Integrate data from external sources
Optimize data workflows for performance
Optimize data workflows for cost efficiency
Support real-time data processing
Support batch data processing
Implement data governance policies
Implement metadata management
How You'll Work.
Team & Collaboration
Agile; DevOps
Process & Methodology
Agile, DevOps
Full Job Description
VAM Systems is currently looking for Data Engineer (Offshore) for ourBahrain 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 The selected candidates shall join VAM Systems - Bahrain and shall be deputed to one of the leading Banksin Bahrain.
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