Quantexa Data Engineer

Quantexa Data Engineer

Experience Range: 4-8 years
Location: Singapore
Notice Period: Immediate joiners preferred (Max 30 days)

Your Profile
We are looking for a skilled Data Engineer with hands-on experience in Quantexa and expertise in big data technologies. The ideal candidate will design, develop, and optimize data pipelines, ensuring high performance, scalability, and reliability.

Responsibilities:

• Design and implement data integration solutions using Quantexa.
• Develop, optimize, and maintain scalable ETL pipelines.
• Work with Hadoop, Spark, and big data technologies to process large datasets.
• Ensure data quality, lineage, and governance compliance.
• Deploy and manage data solutions on cloud platforms (AWS, Azure, GCP).
• Collaborate with cross-functional teams to understand business and data requirements.
• Implement DevOps practices, CI/CD pipelines, and automation for deployments.
• Monitor, troubleshoot, and enhance system performance using tools like Grafana, Prometheus, and Splunk.

Requirements:

• Bachelor's degree in Computer Science, IT, or related field.
• 4-8 years of experience in data engineering with a strong focus on Quantexa.
• Expertise in Hadoop, Spark, HDFS, Hive, and Pig.
• Proficiency in programming languages such as Spark, Python, Scala, or Java.
• Hands-on experience with Kubernetes, OpenShift, and cloud-based architectures.
• Familiarity with DevOps tools like Docker, Jenkins, Ansible, and BitBucket.
• Strong problem-solving, collaboration, and communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications:

• Experience in data analytics and fraud detection using Quantexa.
• Exposure to financial services or risk management domains.
• Knowledge of data security and compliance standards.

Job Type: Full-time

Pay: $8,500.00 - $12,000.00 per month

Benefits:

• Health insurance

Schedule:

• Monday to Friday