Data Engineer

Overview

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the worlds most admired brands Toyota is growing and leading the future of mobility through innovative high-quality solutions designed to enhance lives and delight those we serve. Were looking for talented team members who want to Dream. Do. Grow. with us.

To save time applying Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Who were looking for

ToyotasDataDepartment is looking for a passionate and highly motivatedData primary responsibility of this role is to develop and maintain scalable cloud infrastructure solutions for data platforms and build data engineering pipelines to support analytics and reporting needs. Reporting to the Data Engineering Manager the person in this role will support the OneTech Data departments objective to build state of the art Data Platforms and develop Data Products in support of various Analytical needs across the organization.

What youll be doing

Develop and maintain scalable secure and cost-optimized cloud infrastructure for Data Lake Data Warehouse and analytics platforms using Infrastructure as Code (IaC) tools such as Terraform AWS CloudFormation or equivalent.

Develop automations for provisioning configuration and deployment of cloud resources (e.g. AWS S3 Redshift Databricks Sagemaker EMR Lambda EC2 SNS Elastic Cache) to support data engineering workloads.

Build and maintain CI / CD pipelines for data platform components and data engineering workflows using Jenkins Ansible Chef XL Release XL Deploy or similar tools.

Monitor system performance troubleshoot incidents and implement continuous improvements to enhance platform reliability and scalability.

Build and maintain platform health checks monitoring alerting and resiliency mechanisms to ensure high availability and performance of data systems.

Develop and maintain end-to-end data engineering pipelines using Apache Spark Scala Databricks and Informatica ETL tools to ingest transform and load large-scale datasets.

Develop automation frameworks for pipeline testing validation & Observability solutions to track data quality timeliness and accuracy.

Stay current with emerging technologies industry trends and competitive product stacks to recommend innovative solutions and maintain a competitive edge.

Document technical designs operational procedures and best practices to facilitate knowledge sharing and team onboarding.

What you bring

Bachelors degree in Information Systems Computer Science or related discipline or equivalent work experience

Hands-on experience with cloud platforms such as AWS Microsoft Azure or Google Cloud Platform (GCP)

1-2 years of developing Infrastructure as Code (IaC) tools with Terraform AWS CloudFormation or Azure ARM template for provisioning and managing cloud resources relevant to data platforms (e.g. S3 EC2 Lambda RDS SNS Restful APIs CloudWatch etc)

1-2 yrs of experience developing data pipelines using Spark Scala Python Databricks or Spark platforms

Experience writing and optimizing SQL queries for data analysis extraction transformation and loading

Understanding of cloud security fundamentals including IAM roles policies and encryption algorithms

Exposure to monitoring & alerting solutions for platform availability data pipelines infrastructure health checks performance and cost observability

Knowledge of Python Bash or PowerShell and building DevOps solutions with GitHub Jenkins Ansible or similar

Experience with BI / Analytics platforms like Alteryx Dataiku Google Looker Microsoft Power BI or similar

Strong problem-solving skills adept with documenting processes workflows and technical solutions clearly

Good communication skills to collaborate effectively with cross-functional teams including product owners architects and developers

Added bonus if you have

AWS / GCP cloud or Data Engineering certifications

What Well Bring

During your interview process our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include :

A work environment built on teamwork flexibility and respect

Professional growth and development programs to help advance your career as well as tuition reimbursement

Team Member Vehicle Purchase Discount

Toyota Team Member Lease Vehicle Program (if applicable)

Comprehensive health care and wellness plans for your entire family

Toyota 401(k) Savings Plan featuring a company match as well as an annual retirement contribution from Toyota regardless of whether you contribute

Paid holidays and paid time off

Referral services related to prenatal services adoption child care schools and more

Tax Advantaged Accounts (Health Savings Account Health Care FSA Dependent Care FSA)

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10 different Business Partnering Groups across 100 different North American chapter locations that support team members efforts to dream do and grow without questioning that they belong.

Applicants for our positions are considered without regard to race ethnicity national origin sex sexual orientation gender identity or expression age disability religion military or veteran status or any other characteristics protected by law.

Have a question need assistance with your application or do you require any special accommodations Please send an email to .

Key Skills

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

Employment Type : Full-Time

Experience : years

Vacancy : 1