Data Analytics Engineer
| Company | Barclays |
|---|---|
| Location | Parsippany-Troy Hills, NJ, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- Professional programming experience in Java or Python alongside building production-grade data systems
- Advanced knowledge of RDBMS/NoSQL databases, data modeling, and modern Data Warehouse architectures
- Proven experience with AWS data services ecosystem (Glue, Redshift, Lambda, S3, EMR, Kinesis)
- Expert-level experience with batch processing, stream processing, and data integration using big data frameworks like Spark, Flink, or Kafka Streams
Responsibilities
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientist to build and deploy machine learning models.
Preferred Qualifications
- Advanced knowledge of data visualization tools like Tableau, SAP BO, or Power BI
- Expertise in containerization using Docker and Kubernetes for data workloads
- Experience with Infrastructure as Code (Terraform, CloudFormation)
- Demonstrated success implementing serverless architectures for data processing
- Experience with DataOps and CI/CD pipelines for data solutions