Data Scientist (Big Data Engineer) Specialist (4/14) - In Office in: Austin, Texas

Must be a US Citizen or Green Card Holder

No 3rd Parties or C2C Please

POSITION OBJECTIVES

**** 1. Establish New Data Engineering Practices
Develop and implement robust data engineering frameworks and best practices
tailored to fraud analytics.
Ensure data integrity, security, and compliance with industry standards and
regulations. **

2. Support Data Analysts and Data Scientists**
Collaborate with data analysts and data scientists to understand their data needs and
provide the necessary infrastructure and tools.
Facilitate seamless data access and integration from various sources to support
advanced analytics and machine learning models. **

3. Enhance Fraud Detection Capabilities**
Design and build scalable data pipelines to process and analyze large volumes of
transactional data in real-time.
Implement machine learning models and AI tools to identify and mitigate fraudulent
activities effectively. **

4. Optimize Data Storage and Retrieval**
Develop efficient data storage solutions that support quick retrieval and analysis of
historical and real-time data.
Optimize database performance to handle large-scale data operations without
compromising speed or accuracy.

5. Continuous Improvement and Innovation
Stay updated with the latest advancements in data engineering and fraud analytics
technologies.
Proactively identify opportunities for process improvements and implement
innovative solutions to enhance fraud detection and prevention. **

6. Training and Knowledge Sharing**
Conduct training sessions and workshops to upskill team members on new data
engineering practices and tools.

Share knowledge and best practices within the team to foster a culture of continuous
learning and improvement.

II. JOB DUTIES AND RESPONSIBILITIES

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements
(skills/experience) will be displayed to customers but may not be chosen for this
opportunity.

Years Required / Preferred Experience

******_
10 Required_ - **Skill in designing, building, and managing efficient, scalable, and
reliable data pipelines to support data integration efforts. Skill in Python and SQL. Experience with Databricks on Azure preferred.