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Data Engineer
Résumé du poste
A leading recruitment agency in Singapore is seeking a Data Infrastructure Engineer to enhance their data engineering team. The successful candidate will focus on designing and building data pipelines using SQL and Python in a cloud environment. Experience with AWS or Azure and enterprise data solutions is essential. This role provides an opportunity to work with cutting-edge technologies like Glue, Spark, and Airflow. Competitive benefits and a dynamic work environment are offered.
Qualifications
- 1–3 years of experience in cloud data pipelines.
- Hands-on experience with AWS or Azure application architecture.
- Experience with enterprise-scale data solutions.
Responsabilités
- Collaborate with teams to enhance data infrastructure.
- Architect solutions for data delivery and monitoring.
- Develop cloud applications using PySpark and Python.
- Manage CI/CD pipelines and deployment workflows.
Connaissances
Outils
We are seeking a Data Infrastructure Engineer to join our Data Engineering team. You will support the design, build, and optimisation of our enterprise-wide data infrastructure across AWS, GCP, and on-prem environments. Our Enterprise Datalake supports thousands of users, and you will play a key role in ensuring its reliability, performance, and scalability.
This role offers exposure to leading big data and cloud technologies such as AWS/GCP, Glue, Spark, DBT, Airflow, Tableau, and PowerBI.
- Collaborate with data engineering and machine learning teams to enhance data infrastructure reliability, maintainability, and scalability.
- Architect and design solutions to improve data delivery, quality monitoring, and pipeline lifecycle management.
- Develop and administer cloud applications using PySpark, Python and related tools.
- Manage regression testing suites, CI/CD pipelines, and support continuous deployment workflows.
- 1–3 years of experience designing and building production data pipelines (ingestion to consumption) using SQL and Python in a cloud environment.
- Hands‑on experience with cloud application architecture and administration on AWS or Azure.
- Experience working with enterprise‑scale data solutions (Airflow, Databricks, Snowflake, Serverless Functions, Cloud Storage preferred).
- Strong background in custom ETL design, implementation, and maintenance.
- Proficiency with Unix/Linux CLI.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.