Senior Data Engineer

About this role

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Skills you'll use

What you'll do

• You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will develop 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 use different distributed storage and computing technologies from the plethora of options available.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
• You will collaborate with the team on the areas of data governance, data security and data privacy.
• You will incorporate data quality into your day-to-day work.

Who can apply

• You will have 5+ years of experience in Data engineering. Pyspark with GCP and AWS, Power B I or any other analytical tools are required.
• You can build and operate data pipelines, and maintain data storage, all within distributed systems.
• 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 built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
• You have experience with data visualization techniques and can communicate the insights as per the audience.
• You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
• You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).

About Thoughtworks

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