Data Engineer II: ETL, SQL Tuning & Python

Zenika

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+
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Job summary

Zenika is seeking a Data Engineer to join a high-stakes environment focused on data integrity and system resilience. You will work hands-on with SQL, ETL pipelines, and Python automation to optimize complex data flows.

The role emphasizes performance tuning, reliable data processing, and collaboration with stakeholders to translate requirements into technical solutions. A strong foundation in RDBMS, SQL internals, and enterprise ETL tooling is essential.

Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s preferred).
  • 4–7 years experience in Data Engineering with strong RDBMS and data transformation fundamentals.
  • Deep understanding of SQL internals, joins, indexes, and stored procedures; enjoy performance tuning.
  • ETL knowledge: solid experience building and managing pipelines.
  • Sharp analytical skills with fast learning and translating complex requirements into technical solutions.
  • Consultative approach with good communication and a user-first mentality.

Responsibilities

  • Database Engineering: tune queries and ensure high-efficiency processing engine.
  • ETL Development: build and refine data flows using Informatica across enterprise-scale platforms.
  • Adaptive Problem Solving: translate user requirements into technical reality.
  • Smart Automation: use Python to script and optimize workflows.
  • Reliability & Care: maintain high accuracy and performance to keep business as usual running smoothly.

Skills

Analytical skills
Communication
User-first mentality

Education

Bachelor's degree in Computer Science or Data Engineering
Master’s degree preferred

Tools

SQL
Python
Informatica

Job description

Zenika is seeking a Data Engineer to join a high-stakes environment focused on data integrity and system resilience. You will work hands-on with SQL, ETL pipelines, and Python automation to optimize complex data flows.

The role emphasizes performance tuning, reliable data processing, and collaboration with stakeholders to translate requirements into technical solutions. A strong foundation in RDBMS, SQL internals, and enterprise ETL tooling is essential.

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