Senior Consultant-Data Engineer

Tap Growth ai; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Tap Growth ai in Singapore is seeking a Senior Consultant - Data Engineer to design, build, and maintain scalable data pipelines and architectures that drive business insights.

The role requires 5+ years of experience, proficiency in SQL and Python, and experience with Hadoop/Spark. You will collaborate with stakeholders, ensure data governance and security, and mentor junior engineers in a dynamic office setting.

Qualifications

• Minimum of 5 years of experience in data engineering or related field.
• Proficiency in SQL, Python, and big data technologies such as Hadoop and Spark.
• Strong analytical skills and ability to interpret complex datasets.
• Excellent problem-solving abilities and attention to detail.
• Effective communication to collaborate with stakeholders at all levels.

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 data governance and security best practices.
• Optimize existing processes for efficiency and performance.
• Mentor junior engineers and provide technical guidance.

Skills

SQL

Python

Big data

Data pipelines

Data governance

Tools

Hadoop

Spark

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