Data Engineer Temporary

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profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
Posted on: 19 hours ago
Vacancies: 1 Vacancy

Job Summary

About Terawatt Infrastructure

The once in a century transition to autonomous and electric vehicles is underway and will require a multi-trillion-dollar investment in energy and charging infrastructure and the real estate to site it on. Terawatt is the leader in delivering large scale turnkey charging solutions for companies rapidly deploying AV and EV fleets. Whether its an urban mobility hub or a carefully located multi-fleet hub for semi-trucks Terawatt brings the talent capabilities and capital to create reliable cost-effective solutions for customers on the leading edge of the transition to the next generation of transport.

With a growing portfolio of sites across the US in urban hubs and along key logistics and transportation corridors and logistics hubs Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through a robust combination of capital real estate development and site operations solutions. The company develops finances owns and operates charging solutions that take the cost and complexity out of electrifying fleets.

At Terawatt we execute humbly and with urgency to provide tailored solutions for fleets that delight our clients and support the transition of transportation.

Role Description
We are seeking a highly skilled and motivated Data Engineer to join our growing this role you will primarily focus on designing and implementing scalable and efficient data architectures to support our business needs. You will collaborate closely with data scientists analysts and other cross-functional teams to build and optimize data pipelines ensuring that data is accessible secure and well-structured for analytics and reporting.

A key part of this role involves developing and maintaining data models databases and data lakes while implementing robust data governance and quality assurance practices. You will drive the creation of efficient and scalable data infrastructures ensuring alignment with the companys architecture standards and best practices.

Additionally we are looking for someone who exhibits curiosity and a genuine willingness to build and maintain production data lake pipelines that turn raw time-series data into ML-ready features training datasets and batch predictions. Ensure data quality reproducibility and reliable retraining so ML outputs like forecasts and risk scores can be trusted by downstream systems.

Core Responsibilities

    • Design build and maintain scalable data architectures and systems including data lakes
    • Architect and optimize ETL/ELT pipelines for seamless data ingestion and transformation from multiple data sources
    • Develop and enforce data governance and quality assurance standards to ensure data accuracy integrity and consistency across systems
    • Implement best practices in data modeling and database design to support business intelligence and analytics
    • Collaborate with data analysts scientists and other stakeholders to understand data requirements and deliver efficient data solutions
    • Conduct regular data validation troubleshooting and performance tuning of data systems to optimize efficiency
    • Build and maintain production-ready data lake pipelines that transform raw data into ML-ready features training datasets and reliable batch predictions

Preferred Qualifications

    • Bachelors degree in Computer Science Data Engineering or a related field
    • 3 years of experience in data engineering with a focus on data architecture
    • Proficiency in designing and implementing data warehouses databases and data lakes
    • Experience with cloud platforms such as AWS GCP or Azure for data storage and processing
    • Expertise in SQL and proficiency with NoSQL databases (e.g. MongoDB).Strong knowledge of ETL/ELT processes and tools (e.g. databricks Airflow or AWS Glue).Experience in data modeling schema design and performance tuning
    • Hands-on experience with Big Data technologies like Hadoop Spark or Kafka
    • Understanding of data governance frameworks and quality assurance processes.
$55000 - $75000 a year
Our salary ranges are determined by role level and location. This salary range reflects the minimum and maximum target for new hire salaries for the position across Canada. The successful candidates starting salary will be determined based on permissible non-discriminatory factors such as skills experience interview performance and geographic location.
We are building a team that represents a variety of backgrounds perspectives and skills. At Terawatt we continuously strive to foster inclusion humility energizing relationships and belonging and welcome new ideas. Were growing and want you to grow with us. We encourage people from all backgrounds to apply.
If a reasonable accommodation is required to fully participate in the job application or interview process or to perform the essential functions of the position please contact emailprotected.

Terawatt Infrastructure is an equal-opportunity employer.

Required Experience:

IC

About Terawatt InfrastructureThe once in a century transition to autonomous and electric vehicles is underway and will require a multi-trillion-dollar investment in energy and charging infrastructure and the real estate to site it on. Terawatt is the leader in delivering large scale turnkey charging...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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Power your EV fleet with the nation’s most reliable and convenient network of charging solutions.

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