DATA Engineer - Geylang

placeGeylang descriptionTemporary calendar_month16/7/25

Job Summary:

We are looking for a skilled and detail-oriented Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure. You will work closely with data scientists, analysts, and business teams to ensure the availability, reliability, and accuracy of data.

Key Responsibilities:

Design, build, and optimize scalable data pipelines for data extraction, transformation, and loading (ETL/ELT).

Develop and maintain data architectures, databases, and data warehouses.

Collaborate with data scientists and analysts to understand data needs and deliver clean, structured datasets.

Monitor and improve the performance of data systems.

Implement and enforce data quality, security, and governance practices.

Work with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.

Automate data processes and workflows using orchestration tools like Airflow or similar.

Maintain documentation of data models, schemas, and systems.

Required Skills and Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.

Proven experience as a Data Engineer or in a similar role.

Proficient in programming languages such as Python, Scala, Java.

Strong SQL skills and experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).

Hands-on experience with ETL tools and data pipeline frameworks (e.g., Apache Spark, Kafka, Airflow).

Experience with cloud data platforms like AWS (Redshift, Glue, S3), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).

Familiarity with data modeling, data warehousing concepts, and data lakes.

Strong problem-solving skills and attention to detail.

Experience with big data technologies like Hadoop, Hive, or Presto.

Knowledge of CI/CD and DevOps practices in data engineering.

Experience with version control tools (e.g., Git).

Understanding of data privacy and compliance standards (e.g., GDPR, HIPAA).

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