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Open nowPosted yesterday

Senior Data Engineer

RGE60 open roles

Where
Kuala Lumpur
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Your applicationOpen nowSenior Data EngineerRGE · Kuala Lumpur

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on RGE's own form.

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. RGE postings stay open a median of 2 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted yesterday

RGE median: 2 days open

The posting

Grow your career with us

Here at Averis, our common purpose is to improve lives by developing resources sustainably. Our people are crucial in helping us to realise our vision to be one of the best Global Business Solution (GBS) organization to support our customers in creating value for the Community, Country, Climate, Customer and Company.

Responsibilities:

Position Summary:

As the Senior Data Engineer, you will play a pivotal role in leading our data engineering team and driving the design, development, and maintenance of scalable, governed data foundations and pipelines. You will work closely with stakeholders, project managers, and cross-functional teams to understand business requirements, translate them into clear technical requirements, and ensure data solutions align with organizational goals and enable data-driven decision-making.

Key Responsibilities:

  • Collaborate with stakeholders, project managers, and cross-functional teams to understand business requirements and translate them into clear technical requirements, solution designs, and efficient data pipelines.
  • Provide technical design and architecture guidance, and design an appropriate modern data stack that supports the organization’s data maturity, data foundation, governance, scalability, and business reporting needs.
  • Design and implement robust, scalable, and cost-optimized data foundations and pipelines across on-premise and cloud infrastructure to collect, process, govern, and store data from various sources.
  • Build business-relevant data lakes and data warehouses to support management reporting for business end-users and analytics or data science environments for technical end-users.
  • Work with cloud infrastructure team who will provision necessary data related infrastructure.
  • Lead and mentor junior technical members of the team, enabling professional growth and learning.

Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience as a technical leader and practitioner, building and scaling data infrastructure in data engineering and/or data analytics roles and at least 8 years in the industry.
  • Excellent problem-solving and analytical skills, with the ability to approach complex business problems in a structured and logical manner.
  • Strong familiarity and expertise with the modern data engineering and data visualization technologies.
  • Experience with Databricks and its integration with data engineering tasks is a strong plus.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders.
  • Proven ability to lead and mentor a team, fostering a collaborative and innovative work environment.

When you send us your resume and personal details, it is deemed you have provided your consent for us to keep or store your information in our database. All the information you have provided is only used for the recruitment process. Averis will only collect, use, process or disclose personal information where and when allowed to under applicable laws. Only shortlisted candidates will be contacted for an interview. We endeavour to respond to every applicant. However, if you receive no response from us within 60 days, please consider your application for this specific position unsuccessful. We may contact you in the future if there are opportunities that match your qualifications and experience. Thank you for considering a career with Averis.

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