Data Engineer IV

Dice is the leading career destination for tech experts at every stage of their careers, and they are seeking a talented Data Engineer IV for a long-term contract opportunity. The role involves providing technical direction, leading design and deployment of components, and collaborating with team members to deliver technical solutions.

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

Requirements:

• 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
• Key skills: - Python, AWS, Data Pipeline
• 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
• 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
• Hadoop platform (Hive; HBase; Druid)
• Spark
• PySpark
• SQL
• Workflow Automation
• DevOps pipeline (CI/CD); Bitbucket; Concourse
• API frameworks