Job Role: Quantexa Data Engineer
Exp: 10 – 15 Y
Location: Bangalore

• Skill set for “Quantexa” project- Experience working with Graph databases- Graph QL language, Scala as operating language. Big data tech such as spark or Pyspark.
• Design, develop, and maintain robust data pipelines using Scala and Apache Spark for big data processing.
• Implement and optimize Quantexa solutions to create powerful data models, including customer and entity resolution, fraud detection, and risk scoring.
• Work with the data science and analytics teams to develop models using Quantexa’s scoring engine and integrate them into the broader data architecture.
• Ensure the efficient processing and integration of large datasets across a variety of sources (structured, semi-structured, and unstructured).
• Develop and maintain data workflows that ensure the scalability, performance, and reliability of data processes.
• Collaborate with business analysts and data scientists to understand the business requirements and provide effective data engineering solutions.
• Manage, monitor, and improve the performance of existing data pipelines.
• Troubleshoot and resolve any issues with data processes, performance, or integration.
• Ensure data quality, integrity, and security in all aspects of data engineering work.
• Participate in code reviews, knowledge sharing, and best practice discussion.

• Quantexa experience (ideally, with a Quantexa scoring certificate).
• Strong experience with Scala and Apache Spark for big data processing.
• Solid understanding of data engineering best practices and principles.
• Experience with building and optimizing data pipelines and ETL processes.
• Knowledge of SQL and experience working with relational databases