What are the responsibilities and job description for the Data Engineer with Spark, AWS, Java position at Thinklusive?
Job Details
ob Title: Data Engineer with Java AWS
Location: Phoenix, AZ (Onsite)
Duration: Long Term Contract
Years of Experience Required: 9 years
Job Description:
Must have hands on Experience on Spark, Java, AWS
Data Engineer with expertise in Kafka, MongoDB, OpenShift (AWS). The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines, ensuring the efficient flow of data across various systems. You will work closely with data scientists, analysts, and other stakeholders to optimize data processing and storage solutions.
Key Responsibilities:
Design and implement scalable data pipelines using Kafka for real-time data ingestion and processing.
Manage and optimize MongoDB databases, ensuring high availability and performance.
Develop containerized Spring boot /Java applications and deploy them using OpenShift for streamlined operations.
Utilize AWS services (e.g., S3, Redshift) for data storage, processing, and analysis.
Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
Monitor and troubleshoot data pipeline performance, implementing improvements as necessary.
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.
