Consultant Data Engineer(GCP) at Thoughtworks

Santiago, Santiago Metropolitan Region, Chile -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP, Data Modeling, Data Engineering Tools, Clean Code, Data Pipelines, Data Visualization, Data Governance, SQL, NoSQL, Stakeholder Management, Problem Solving, Adaptability, Technical Excellence, Continuous Delivery, Data Quality

Industry

Information Technology & Services

Description

Data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They support functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities You will collaborate with team members to design intricate data processing pipelines, addressing clients' most challenging problems. You will collaborate with data scientists to design scalable implementations of their models. You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. You will apply different standard models for big data and create data models for at least one type of modeling technique. You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills You must have experience with GCP. You have hands-on experience of data modeling and modern data engineering tools and platforms. You have experience in writing clean, high-quality code using the preferred programming language. You have awareness in building data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting. You have knowledge of data visualization techniques and can communicate the insights as per the audience. You are aware of data governance, security and privacy strategy to solve business problems. You have experience with different types of databases (i.e.: SQL, NoSQL, etc.). Professional Skills Advancend English is required. You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. You enjoy influencing others and always advocate for technical excellence while being open to change when needed. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. About Thoughtworks Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Remote See here our AI policy.

Responsibilities

You will collaborate with team members to design intricate data processing pipelines and work with data scientists to implement scalable models. You will also write clean code and ensure data quality in your projects.