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Senior Data Engineer
CFI Financial GroupSelangorMalaysia, Selangor, Malaysia9 hari lalu
Penerangan pekerjaanHands-on experience with Python (a must) Hands-on experience with SQL queries Good knowledge of database design, development, data models, data mining, and segmentation Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management BSc in Mathematics, Statistics, Data Science, or related field Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Knowledge of Databricks, Dataflow, or Apache Spark is a plus Knowledge of Prefect / MLFlow or similar tools, ML / DL libraries , and experience deploying ML / DL solutions is also a plus We’re a fast-growing, multinational company Competitive salaries and benefits Work and learn with industry professionals Supportive and collaborative environment Unlimited opportunities for growth and development Seniority level : Mid-Senior level Employment type : Full-time Job function : Design, Art / Creative, and Information Technology
Senior Technical Talent Acquisition | Forex & Financial Industry | Malaysia Hiring Focus
CFI Financial Group is an award-winning trading provider, possessing more than 25 years of experience with multiple offices around the world including London, Larnaca, Beirut, Amman, Dubai, Kuwait, Port Louis, and others.
CFI is hiring! Make your mark in the online trading industry.
Are you looking to pursue a career in finance? Do you want to work with a dynamic and growing team in the exciting world of online trading and investing? If you answered yes, then we have some amazing opportunities for you!
Overview
Description : We are seeking a highly motivated and experienced Data Engineer to join our team at CFI.
Responsibilities
- Interpret and analyze data problems
- Conceive, prioritize, and plan data projects in alignment with organizational goals
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases / data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Ensure data quality and integrity
- Maintain full data science and analysis documentation
- Collaborate with team members and stakeholders in understanding where to bring value from data
- Develop and implement data science infrastructure (experiments tracking, feature store, A / B testing platform, etc.)
Requirements
Additional Details
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