Overview
On Site
135k - 170k
Full Time
Skills
Google Cloud Platform
Extract
transform
load
Data integration
Unstructured data
Data engineering
Software development
Data quality
Data processing
Real-time
Machine Learning (ML)
Health insurance
Data
Fraud
Finance
Operations
Pivotal
Apache Hadoop
Algorithms
Design
Java
Python
HDFS
Apache Hive
Apache Spark
Analytics
Collaboration
Specification
Scalability
Apache Kafka
Apache Flink
TensorFlow
PyTorch
Cloud computing
Amazon Web Services
Microsoft Azure
Docker
Kubernetes
SAP BASIS
Job Details
We're looking for a Data Engineer to join a dynamic and rapidly growing company specializing in developing advanced fraud detection services for the finance industry. Leveraging cutting-edge technologies, we empower financial institutions to safeguard their operations against fraudulent activities.
As a Data Engineer specializing in fraud detection services, you will play a pivotal role in our technology team, focusing on building robust data pipelines and scalable infrastructure within a Hadoop environment. You will work closely with data scientists, software engineers, and analysts to ensure efficient data ingestion, processing, and integration, ultimately contributing to the development of innovative fraud detection algorithms and services.
Unfortunately this role cannot provide visa sponsorship now or in the future or be considered for 1099 work. Required Skills & Experience
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-EM1
As a Data Engineer specializing in fraud detection services, you will play a pivotal role in our technology team, focusing on building robust data pipelines and scalable infrastructure within a Hadoop environment. You will work closely with data scientists, software engineers, and analysts to ensure efficient data ingestion, processing, and integration, ultimately contributing to the development of innovative fraud detection algorithms and services.
Unfortunately this role cannot provide visa sponsorship now or in the future or be considered for 1099 work. Required Skills & Experience
- Design, develop, and maintain scalable data pipelines and ETL processes using both Java and Python within a Hadoop ecosystem (HDFS, Hive, Spark, etc.).
- Implement data integration solutions to ingest large volumes of structured and unstructured data from various sources into our analytics platforms.
- Collaborate with cross-functional teams to understand data requirements, translate them into technical specifications, and deliver high-quality data solutions.
- Optimize data pipelines for performance, reliability, and scalability, considering best practices in data engineering and software development.
- Monitor and troubleshoot data pipelines, ensuring data quality and integrity throughout the process.
- Explore and implement new tools and technologies to enhance data processing efficiency and analytics capabilities.
- Experience with real-time data processing frameworks (Kafka, Flink, etc.).
- Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch, etc.).
- Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization technologies (Docker, Kubernetes)
- Bonus eligible
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k) {including match- if applicable}
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-EM1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.