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Thoughtworks

Consultant Data Engineer

Reposted 23 Days Ago
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Singapore
Mid level
Singapore
Mid level
As a Consultant Data Engineer, you will design and maintain data processing pipelines, collaborate with data scientists, write clean code, and ensure data quality while engaging with clients and stakeholders.
The summary above was generated by AI

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.

At the time of application, candidates must be Singaporean citizens or already hold Singaporean Permanent Residency (PR).

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.
  • Familiar with AWS RDS, Redshift, Glue, Dagster - Good to have: General AWS knowledge, SageMaker, Qlik or QuickSight, Talend, Terraform.
  • Python coding experience is a must.
Job qualifications
Technical Skills
  • 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
  • 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-Onsite

Top Skills

Azure Cloud Platform
Databricks
Java
Kubernetes
Python
Scala
Spark
SQL
Typescript

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