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Data Engineer

Remote: 
Full Remote
Contract: 
Full time
Salary: 
120 - 120K yearly
Work from: 
Australia

Offer summary

Qualifications:

Strong proficiency in SQL, Python, and Power BI., Familiarity with Apache Spark and data engineering concepts., Experience with CI/CD pipelines for analytics projects., Experience with Databricks platform is advantageous..

Key responsabilities:

  • Implement data architect's design and vision.
  • Build reusable frameworks for data platforms.
  • Enhance CI/CD pipelines for data projects.
  • Maintain machine learning models for analytics.
FastLane Group logo
FastLane Group SME https://fastlane-global.com/
11 - 50 Employees
About FastLane Group
FastLane Group is a Hong Kong-based tech savvy accounting and advisory firm that brings in innovation and technology to the traditional accounting and makes accounting simple. We also provide a comprehensive range of services from auditing, taxation, corporate services and Payroll/HR outsourcing services. Ever since the group founded in 2013, we have been on a mission to help entrepreneurs and fast-growing companies to scale up and stay on top of their finance and compliances. We have been supporting over 500 companies and growing fast with the ecosystem partners and supporting networks.
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Job description

Job brief

We are seeking a talented and experienced Data Engineer to join a leading organization in the industrial B2B and distribution sector. In this role, you will play a critical part in building and optimizing scalable data platforms to support data-driven decision-making and analytics initiatives. Join a dynamic and innovative team where your expertise will directly impact the organization's growth and success.

Responsibilities
  • Deliver on the data architects design and vision, ensuring successful implementation of use cases and operational excellence.
  • Build and implement reusable frameworks for the data platform, ensuring scalability and efficiency.
  • Enhance CI/CD pipelines for data and analytics projects to streamline workflows.
  • Operationalize and maintain machine learning models to enable advanced analytics across the organization.
  • Improve data access and usability for business users to facilitate self-service analytics.
Requirements
  • Strong proficiency in SQL, Python, and Power BI.
  • Familiarity with Apache Spark and parallel computing, with a solid understanding of core data engineering concepts like CDC and ETLs.
  • Proven experience in building CI/CD pipelines for data and analytics initiatives.
  • Experience with the Databricks platform and Machine Learning is highly advantageous.
  • Excellent problem-solving and collaboration skills with a focus on operational efficiency.
Benefits & Perks
  • Competitive salary: AUD 120,000 per year + superannuation.
  • Opportunity to contribute to a growing and innovative data function.
  • Work in a collaborative and forward-thinking environment.
  • Professional development opportunities in advanced analytics and machine learning.
  • Join a company committed to excellence and operational efficiency.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.
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