Senior AWS Data Engineer III
RIT Solutions Inc/ Tech Dev IT/ Texperts Inc/ConceptsIT, Inc.
Only taking USC, GC
Job Description Please submit qualified candidates and include FULL LEGAL NAME as it appears on the passport Required experience:
Day to Day
Years of experience in the following
Job Description Please submit qualified candidates and include FULL LEGAL NAME as it appears on the passport Required experience:
- Five (5) or more years of AWS experience using one or more of the associated services - S3, EMR, Glue Jobs, Lambda, Aurora, CloudTrail, SNS, SQS, CloudWatch
- Experience with native AWS technologies for data and analytics such as Kinesis, OpenSearch
- Experience developing REST APIs and API gateways using Java Springboot
- Tools and Languages
- Java, Java Spring Boot
- Infrastructure as Code technology
- Terraform/CloudFormation
- AWS Console
- Eight (8) or more years SQL experience
- Experience with Kafka/Messaging preferably Confluent Kafka
Day to Day
- Translate business and software engineering needs into data products (e.g. - APIs, streams, etc.) throughout the Agile lifecycle.
- The ideal candidate would have a strong background in the development and design of complex systems in one or more of the following areas: migration of critical system data to the cloud, development of cloud-based data platforms
- This position is expected to deliver solutions that adhere to enterprise and/or governance standards and meet, if not exceed, the information needs of all stakeholders in terms of information availability, security, and quality.
- Collaborate with developers, data teams, and architects to design and maintain scalable data infrastructure.
- Build and test robust data architectures and processing systems tailored to organizational needs.
- Develop scalable interfaces and software using modern programming tools.
- Design and deploy data pipelines to integrate large, complex datasets from multiple sources.
- Automate processes, implement data quality controls, and enhance infrastructure for operational efficiency.
- Address data gaps by building pipelines and delivering enriched, automated analytical capabilities.
- Establish batch/real-time data feeds from source systems for analysis.
- Support data-driven decision-making through analytical tools and techniques.
- Apply responsive front-end technologies and ensure systems align with business goals and standards.
- Explore new data acquisition methods and innovative uses for current datasets.
Years of experience in the following
- AWS (Kinesis, OpenSearch, console, etc)
- Java Spring Boot
- Terraform Cloud Formation
- SQL
Vacancy posted 4 days ago
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