Senior Consultant-Data Engineer

Rapsys Technologies Pte Ltd.

Singapore

On-site

SGD 90,000 - 120,000

Full time

14 days+

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Job summary

Rapsys Technologies Pte Ltd. in Singapore is seeking a Senior Consultant - Data Engineer to design and build scalable data pipelines and architectures. You will work with cross-functional teams to translate data needs into robust solutions.

The ideal candidate brings 5+ years in data engineering, strong SQL and Python skills, and hands-on experience with big data tools such as Hadoop and Spark. You will mentor junior engineers and uphold data governance standards.

Qualifications

  • Must have strong data engineering capabilities and problem-solving skills.
  • Ability to translate business questions into data solutions.
  • Excellent collaboration and communication with stakeholders.

Responsibilities

  • Design, build, and maintain scalable data pipelines and architecture
  • Analyze complex datasets to derive actionable insights
  • Collaborate with cross-functional teams to understand data needs
  • Implement best practices for data governance and security
  • Optimize existing processes for efficiency and performance
  • Mentor junior engineers and provide technical guidance

Skills

Data engineering
Analytical thinking
Communication skills

Tools

Hadoop
Spark
SQL
Python

Job description

We're Hiring: Senior Consultant - Data Engineer!

We are looking for a highly skilled and experienced Senior Consultant - Data Engineer to join our dynamic team in Singapore. The ideal candidate will possess extensive knowledge of data engineering principles, architectures, and technologies to drive impactful data solutions that support business objectives.

Location:

Singapore, Singapore

Work Mode:

Work from Office

Role:

Senior Consultant - Data Engineer

What You'll Do:
  • Design, build, and maintain scalable data pipelines and architecture
  • Analyze complex datasets to derive actionable insights
  • Collaborate with cross-functional teams to understand data needs
  • Implement best practices for data governance and security
  • Optimize existing processes for efficiency and performance
  • Mentor junior engineers and provide technical guidance
What We're Looking For:
  • Minimum of 5 years of experience in data engineering or related field
  • Proficiency in SQL, Python, and big data technologies (e.g., Hadoop, Spark)
  • Strong analytical skills with the ability to interpret complex data sets
  • Excellent problem-solving abilities and attention to detail
  • Effective communication skills to collaborate with stakeholders at all levels
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