About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Big Data Engineer based in the United States.
Responsibilities
- Engineer and maintain large-scale big data solutions and multi-tier data environments
- Lead initiatives leveraging big data technologies to generate actionable insights
- Design, develop, and maintain enterprise data models using ERwin and Microsoft Visio
- Build high-performance algorithms, prototypes, and data models using Python, C/C++, Java, Perl, and Scala
- Analyze and develop data processing workflows for data ingestion, modeling, mining, and transformation
- Contribute to machine learning, NLP, and MLOps initiatives
- Develop AI roadmaps, prepare ROI business cases, and contribute to model validation and governance
- Work with Hadoop-based technologies and NoSQL data platforms
- Integrate big data solutions with SAP technologies
Requirements
- Bachelor's or master's degree
- At least eight years of relevant professional experience
- Active Secret security clearance is mandatory
- Experience engineering large-scale big data deployments in government and large commercial environments
- Experience with machine learning, NLP, MLOps, Python, data engineering, and responsible AI
- Hands-on experience with Hadoop-based technologies: Cloudera, Hortonworks, MapReduce, Hive, HDFS
- Experience with NoSQL technologies such as MongoDB and Cassandra
- Ability to design enterprise data models using ERwin and Visio
- Experience integrating big data solutions with SAP technologies
Conditions
- Compensation determined based on experience and qualifications
- Remote opportunity based in the United States
- Employment type: Consultant Corp