
Expert Data Engineer
2 weeks ago
Data Engineering Specialist Job
We are seeking an experienced Data Engineer to join our team in a challenging role that involves designing, building, and optimizing robust data pipelines and workflows using Quantexa, Apache Spark (Scala), and Hadoop.
Key Responsibilities:
- Design, build, and optimize data pipelines and workflows using Quantexa, Apache Spark (Scala), and Hadoop.
- Develop and deploy enterprise-scale data solutions that support fraud detection, risk assessment, customer intelligence, and other use cases.
- Perform ETL development, data transformation, and data cleansing operations for large and complex datasets.
- Collaborate with data architects, analysts, and business stakeholders to understand requirements and translate them into scalable data solutions.
- Execute performance tuning and optimization of Spark jobs and data pipelines to ensure minimal latency and high reliability.
- Utilize PL/SQL and Unix Shell Scripting for back-end data processing, automation, and integration with legacy systems.
- Support unit testing, UAT, and production rollout of data solutions, ensuring alignment with quality and compliance standards.
- Work within Agile delivery models, participating in daily stand-ups, sprint planning, and retrospectives.
- Provide technical documentation, version control, and knowledge transfer to other team members and stakeholders.
- Stay updated with emerging technologies and recommend tools/strategies to improve the architecture and performance.
Required Skills & Experience:
- 6+ years of overall IT experience, including strong experience in:
- Quantexa platform
- Apache Spark and Scala
- Hadoop ecosystem tools
- PL/SQL and Unix Shell Scripting
- Strong command of ETL processes, data modeling, and data architecture.
- Hands-on experience with RDBMS and Data Warehousing concepts.
- Proven ability to deliver high-quality data solutions in enterprise application environments.
Preferred Qualifications:
- Quantexa Developer Certification
- Familiarity with CI/CD pipelines, Cloud data platforms, and containerization tools is a plus.
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