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Senior Data Engineer

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Senior Data Engineer Our client is seeking a Senior Data Engineer to join their dynamic team. This role offers the opportunity to work with cutting-edge technology and collaborate with a team of passionate professionals.

What you'll do:

As a Senior Data Engineer, your role will be pivotal in shaping the future of our client's data landscape. You will be responsible for designing comprehensive data architectures that seamlessly integrate with the existing enterprise architecture. Your expertise in building and maintaining reliable ETL on big data platforms will be crucial in ensuring the smooth operation of our client's data infrastructure. You will also play a key role in engaging with internal stakeholders, transforming their initial ideas into tangible solutions that drive business growth. Your ability to apply advanced data processing techniques across various stages of the data pipeline will be instrumental in optimising the quality and usability of strategic datasets.

  • Designing end-to-end data architectures that align with overarching enterprise architecture
  • Building and maintaining reliable and scalable ETL on big data platforms
  • Working with varied forms of data infrastructure inclusive of AWS S3, Apache Hive on S3 or Databricks on S3
  • Applying data correlation, denormalization, tagging, and validations at strategic points across data pipelines
  • Engaging with internal customers and stakeholders to develop initial requests and ideas into real-world solutions
  • Developing quick proofs as an effective tool to demonstrate solution concepts and feasibility

What you bring:

The ideal candidate for the Senior Data Engineer role will bring a wealth of experience in data engineering, particularly in building and maintaining ETL on big data platforms. You will have a deep understanding of various forms of data infrastructure, including AWS S3, Apache Hive on S3, and Databricks on S3. Your expertise in data modelling techniques and familiarity with relational and nonrelational databases such as MySQL and MongoDB will be crucial to your success in this role. Additionally, you will possess expert knowledge of SQL, Python, and Spark, and have experience using Data ETL solutions like Fivetran and Stitch. Familiarity with code version control systems such as Gitlab, Github, or Bitbucket is also required.

  • Proven experience in building and maintaining reliable and scalable ETL on big data platforms
  • Expertise in working with varied forms of data infrastructure inclusive of AWS S3, Apache Hive on S3 or Databricks on S3
  • Deep knowledge of data modelling techniques, relational and nonrelational databases such as MySQL, MongoDB
  • Expert knowledge of SQL, Python and Spark
  • Experience using Data ETL solutions such as Fivetran, Stitch
  • Experience with code version control systems such as Gitlab, Github, Bitbucket

What sets this company apart:

Our client is a forward-thinking organisation that values innovation and collaboration. They are committed to providing their employees with a supportive work environment where they can grow both personally and professionally. The company prides itself on its inclusive culture and commitment to employee wellbeing. They offer flexible working arrangements to support work-life balance and provide ample opportunities for learning and development. This is an exciting opportunity to join a company that truly values its employees and is committed to creating a positive workplace culture.

What's next:

Ready to take the next step in your career? Don't miss out on this exciting opportunity!

Apply today by clicking on the link!

Contract Type: FULL_TIME

Specialism: Software

Focus: Data & AI

Industry: IT

Salary: Negotiable

Workplace Type: Hybrid

Experience Level: Mid Management

Location: Taipei

Job Reference: TNSXHW-766F4963

Date posted: 17 June 2024

Consultant: Lauren Huang

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