

Job Description:
As a Data Engineer, you will:
- Design and implement scalable data management systems that support the integration and analysis of large datasets.
- Work closely with data scientists and ML engineers to provide the necessary data for model training and evaluation.
- Develop and maintain data pipelines for data collection, storage, processing, and analysis.
- Ensure the reliability, efficiency, and security of data systems.
Responsibilities:
- Develop, construct, test, and maintain architectures, such as databases and large-scale processing systems.
- Ensure architecture will support the requirements of the business and AI models.
- Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to improve current processes.
- Recommend ways to improve data reliability, efficiency, and quality.
Key Performance Indicators (KPI) For Role:
- Efficiency and scalability of data management systems developed.
- Reliability and robustness of data pipelines.
- Quality and accessibility of data provided for AI models.
- Positive feedback from data scientists and business stakeholders on data engineering support.
- Adherence to best practices in data security and governance.
Prior Experience Required:
- Minimum 3+ years of experience in data engineering or a related field.
- Proficient in big data technologies such as Hadoop and Spark.
- Strong programming skills in Python and expertise in SQL and NoSQL databases.
- Experience with cloud services (AWS, Azure, GCP) for data processing and storage.
- Basic understanding of machine learning principles and their application in data processing.
- Demonstrated ability to build scalable and reliable data pipelines.
- Familiarity with data modeling, data access, and data storage techniques.
- Experience in integrating data from multiple sources for analytical and operational purposes.
Employed For Company:
RaptorX.ai
Employer:
RaptorX.ai
Location:
Hyderabad
Collaboration:
This role involves collaboration with data scientists, ML Engineers, and software developers to ensure seamless data integration for AI models and analytics.
Salary:
Competitive, based on experience and market standards.
Education:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
Language Skills:
- Strong command of Business English, both verbal and written, is required.
Other Skills Required:
- In-depth knowledge of data warehousing solutions and data modeling practices.
- Strong analytical and problem-solving skills.
- Proficient understanding of distributed computing principles.
- Ability to manage and process large volumes of data in a scalable manner.
- Knowledge of software development methodologies and best practices.
- Experience with continuous integration and deployment (CI/CD) pipelines.
- Familiarity with data governance and security practices.
Other Requirements:
- Proven track record of successful projects in data engineering.
- Ability to work in a fast-paced and dynamic environment.
- Excellent teamwork and communication skills.
- A portfolio showcasing successful data engineering projects.

About RaptorX.ai
About
RaptorX.ai is an innovative fraud prevention platform founded in 2023, leveraging advanced AI and machine learning to protect businesses against digital threats. Backed by prominent investors like PeakXV Spark, the company specializes in transaction security and identity verification solutions. Through their cutting-edge technology combining supervised and unsupervised ML with LLMs, RaptorX is transforming how businesses approach fraud prevention and digital trust.
Tech stack


Candid answers by the company
RaptorX.ai is a B2B fraud prevention platform that uses advanced AI and machine learning to protect businesses against transaction and identity fraud. They offer comprehensive solutions for:
- Transaction fortification
- User profiling
- Fraud prevention
- Dispute resolution
- Regulatory compliance
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