- 143 CECIL STREET Central Region (Singapore) Singapore

Working Location
Job Description
Responsibilities
Responsibilities:
· Design, develop, and maintain data pipelines to ingest, transform, and serve data from multiple sources.
· Support batch and near-real-time data processing, ensuring data accuracy, freshness, and reliability.
· Assist in managing and optimizing data lakes, lakehouses, and data warehouses.
· Develop and optimize SQL and Python-based transformations for reporting and analytics.
· Implement basic data quality checks, logging, and monitoring.
· Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
· Participate in code reviews, testing, documentation, and CI/CD processes.
· Continuously learn and adopt modern data engineering and AI-enabled data practices.
Key Technical Skills & Responsibilities
· Strong working knowledge of Python and SQL for data processing.
· Experience building ETL/ELT pipelines using industry-standard practices.
· Familiarity with cloud data platforms such as:
ü Snowflake
ü Microsoft Fabric (OneLake, Lakehouse, Data Pipelines)
ü AWS(Redshift, Glue) / Azure Data Lake / Google BigQuery
· Understanding of data modeling concepts (fact/dimension tables, star schema).
· Experience or exposure to orchestration and transformation tools such as Airflow, DBT, Spark, or Dask.
· Working knowledge of Git and CI/CD pipelines.
· Exposure to BI and visualization tools such as Power BI or Apache Superset.
· Basic understanding of cloud security, access control, and cost optimization.
Eligibility Criteria:
· Bachelor’s degree in computer science, Engineering, or a related discipline.
· 3+years of hands-on experience in data engineering or a closely related role.
· Experience supporting or maintaining production data pipelines.
· Strong problem-solving skills and eagerness to learn new technologies.
· Good written and verbal communication skills.
· Ability to work effectively in a collaborative team environment.
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