Data Engineer (Power Systems) - Remote

No 3rd party vendor. Yearly revewing contract with a very reputable Energy client of ours. We are specifically and only looking for an Engineer with power systems engineering background and DER Dispatch experience, if you meet these 2 main requirements, please send me your resume. Thank you!

Join our dynamic team at our energy partner as a Data Engineer 4, where you will play a pivotal role in harnessing the power of data to optimize operations, enhance decision-making processes, and drive innovation in the rapidly evolving energy sector. As a seasoned professional, you will leverage your expertise to design, implement, and maintain robust data pipelines, ensuring the seamless flow of information critical to powering the future of sustainable energy solutions

Core Responsibilities

• Provides technical direction, guides the team on key technical aspects and responsible for product tech delivery
• Lead the Design, Build, Test and Deployment of components
• Where applicable in collaboration with Lead Developers (Data Engineer, Software Engineer, Data Scientist, Technical Test Lead)
• Understand requirements / use case to outline technical scope and lead delivery of technical solution
• Confirm required developers and skillsets specific to product
• Provides leadership, direction, peer review and accountability to developers on the product (key responsibility)
• Works closely with the Product Owner to align on delivery goals and timing
• Assists Product Owner with prioritizing and managing team backlog
• Collaborates with Data and Solution architects on key technical decisions
• The architecture and design to deliver the requirements and functionality

Core Experience and Abilities

• Power Systems engineering experience
• DER Dispatch experience
• Automated fault analysis systems experience
• Ability to perform hands on development and peer review for certain components / tech stack on the product
• Standing up of development instances and migration path (with required security, access/roles)
• Develop components and related processes (e.g. data pipelines and associated ETL processes, workflows)
• Lead implementation of integrated data quality framework
• Ensures optimal framework design and load testing scope to optimize performance (specifically for Big Data)
• Supports data scientist with test and validation of models
• Performs impact analysis and identifies risk to design changes
• Ability to build new data pipelines, identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications
• Ensures Test Driven development
• Experience leading teams to deliver complex products
• Strong technical skills and communication skills
• Strong skills with business stakeholder interactions
• Strong solutioning and architecture skills
• Experience building real time data ingestion streams (event driven)
• Ensure data security and permissions solutions, including data encryption, user access controls and logging

Core Technical Skills

• Experience with native AWS technologies for data and analytics such as Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch, etc.
• Tools and Languages such as Django, Python, Java, Scala, Pandas
• Infrastructure as Code technology such as Terraform
• AWS services such as S3, EMR, Glue, Lambda, Athena, Kinesis, EC2, SNS, SQS, Cloudwatch
• Experience with databases such as Redshift, Document DB, DynamoDB and Mongo DB
• Experience transitioning on premise big data platforms into cloud based platforms such as AWS

Additional Technical Skills (nice to have, but not required for the role)

• Hadoop platform (Hive; HBase; Druid)
• Spark
• PySpark
• SQL
• Workflow Automation
• DevOps pipeline (CI/CD); Bitbucket; Concourse
• API frameworks