AWS Cloud Data Engineer (Remote)

Start Date: ASAP

Type: Temporary Project. Estimated Duration: 12 months with possible extensions

Work Setting: Remote

Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.

Required:

• Experience in Data engineering (5+ years).
• Experience with Python.
• Experience with Structured Query Language (SQL).
• Experience Building production data pipelines in Amazon Web Services (AWS).
• Experience with AWS data technologies (S3, Glue, Lambda, RDS/Aurora, Redshift, Athena, Kinesis).
• Experience with Extract Transform Load / Extract Load Transform (ETL/ELT) architecture and orchestration frameworks.
• Experience with Relational and non-relational database design.
• Experience with Automated data-quality processes.
• Experience Building Application Programming Interfaces (APIs) or data services.
• Experience with Data governance, lineage, security and access-control principles.
• Bachelor's degree in Computer Science, Data Engineering, Engineering or a related field.

Preferred:

• Experience with Time-series data.
• Experience with Streaming/event-driven architectures.
• Experience with Industrial Internet of Things (IoT), Supervisory Control and Data Acquisition (SCADA), historians or operational technology data.
• Experience with Energy-generation assets such as solar, battery storage, wind or conventional generation.
• Experience Designing data architectures supporting AI/ML and generative AI applications.
• Experience with Vector databases and retrieval architectures.
• Experience with High-volume telemetry datasets.

Responsibilities:

• Design and implement the cloud data architecture.
• Build scalable ingestion, transformation, storage and serving pipelines on AWS.
• Develop pipelines for operational, historical, engineering, application and contextual data.
• Design data models optimized for analytical applications and AI consumption.
• Establish appropriate storage patterns across relational, object, time-series and analytical data stores.
• Develop APIs and services enabling tools and agents to retrieve data consistently.
• Establish automated data-quality validation, reconciliation and monitoring.

Why apply?

• Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company.
• Work with a great team of professionals and learn newest technologies and approaches.
• Enjoy our Client's wonderful campus with top-notch facilities for work and recreation.
• Benefit from multiple projects extensions.
• Receive support and advice from Vitaver consultants who are already working at our Client's site.
• Get extra cash by participating in Vitaver Successful Completion Bonus Program.
• Always get paid in full and on time.