Padmi

Data Engineer

United States · HybridPosted 1 month ago
Infrastructure And DatabasesUnspecified
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We had Interview Scheduled but candidate backed out at last moment

DATA ENGINEER

Location: Plano, TX | Hybrid Option

Duration: 6+ Month Contract

Hybrid/Remote Requirement: Hybrid

Initial Term of Engagement: ASAP

Interview Process: 1st Round virtual screen, 2nd round in-person

In other words, USCs and GC Permanent Residents are REQUIRED.

Job Description:

Work with a team of data and software engineers to deliver big data streaming platform and data management capabilities.

Develop cutting edge software solutions by writing maintainable, extensible, tested code, while complying with coding standards

Be hands-on and lead from the front in following best practices in development, microservices design and CI/CD methodologies

Facilitate end to end user testing with customers.

Troubleshoot, debug and upgrade existing systems.

Help bridge gaps between Toyota Connected, other Toyota Entities, and 3rd party suppliers.

Work closely with product owners to shape and deliver features to customers.

Embrace emerging technology opportunities and contribute to our best practices, driving overall architecture, security, design.

Write full-stack software and tooling, ensuring code is well-tested and performant.

Develop tools and libraries that will enable rapid and scalable development in the future.

Contribute to all aspects of the software development life cycle across multiple, interconnected software products.

Support responsibilities will include investigating issues our customers have with retrieving data via our data products.

Debugging APIs, cloud services, and data lake technologies

Required Skills:

At LEAST 3+ years of data engineering experience

Solid experience writing clean, concise, tested, maintainable code in python.

Experience building and deploying applications in AWS

API development experience

Experience utilizing Spark and SQL

Experience with Databricks or EMR

Experience with CI/CD and updating build pipelines and pipeline tasks

Hands-on production experience working with Big Data platforms, building and optimizing data pipelines that involve data processing and streaming platforms

Experience in test automation frameworks, optimizing performance and security enabling delivery of robust and maintainable architecture.

Ability to learn and apply new technologies, programming practices, patterns, and methods

Demonstrates advanced problem-solving, troubleshooting, decision making skills

Organized and detail-oriented

Ability to develop healthy working relationships and collaborate with peers and leaders

Exhibits integrity and high standards in work quality

Excellent verbal and written communication skills

Values diversity and differences amongst individuals in interactions

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