Data Engineer
Zenika is seeking a Data Engineer Consultant to design and implement scalable data platforms for enterprise and public sector clients. You will build and maintain high-performance ETL/ELT pipelines using AWS, Databricks, PySpark, and SQL. The role requires strong expertise in data warehouse design and cloud-native data architectures. You will also collaborate with cross-functional teams and mentor junior engineers to drive best practices.
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Experience
5-7 years
Function
Engineering
Work mode
Onsite, Singapore
Company
Tier 2
What you will work on
Zenika is seeking a Data Engineer Consultant to design and implement scalable data platforms for enterprise and public sector clients. You will build and maintain high-performance ETL/ELT pipelines using AWS, Databricks, PySpark, and SQL. The role requires strong expertise in data warehouse design and cloud-native data architectures. You will also collaborate with cross-functional teams and mentor junior engineers to drive best practices.
TAL's take
Solid mid-tier consultancy role with clearly defined responsibilities and technical expectations.
The JD clearly outlines the responsibilities, required stack, and team expectations, providing a comprehensive view of the role.
Must haves
- 5–7 years experience in data engineering
- Experience building ETL/ELT pipelines
- Hands-on expertise in Databricks, PySpark, Python, and SQL
- Understanding of data warehouse design
- Familiarity with DevOps concepts and CI/CD
- Bachelor's degree in Computer Science or related field
Tools and skills
Nice to have: snowflake, redshift, kafka, kinesis, gitlab, github, agile.
About the company
Established international consulting firm with a global presence, though not a top-tier big tech or major unicorn in the engineering space.