Data Scientist/Engineer - 1639
S$7500 - 8500 / month
Key Responsibilities
- Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.
- Build data ingestion, transformation, integration, and processing workflows.
- Develop data warehouses, data lakes, and/or lakehouse solutions.
- Integrate data from APIs, databases, applications, files, and other systems.
- Implement data validation, quality checks, monitoring, and reconciliation.
- Optimise pipelines and queries for performance, scalability, and cost.
- Implement access controls, encryption, audit logging, and data protection.
- Support data governance, classification, lineage, metadata, retention, and lifecycle management.
- Develop data solutions using cloud and/or on-premises technologies.
- Work with Python, SQL, Spark, Airflow, Kafka, Databricks, Snowflake, AWS, Azure, or Google Cloud.
- Implement CI/CD, automation, testing, and deployment practices.
- Monitor production pipelines, troubleshoot issues, perform root-cause analysis, and support service restoration.
- Collaborate with stakeholders to translate data requirements into technical solutions.
- Support disaster recovery, business continuity, and technology resilience activities.
Requirements
- Degree/Diploma in Computer Science, IT, Data Engineering, Engineering, Mathematics, Statistics, or related discipline.
- 3–6 years of relevant experience in data engineering, data platforms, ETL/ELT, or related technical roles.
- Strong programming skills in Python, Java, Scala, or similar.
- Strong SQL and relational database experience.
- Hands-on experience designing and implementing data pipelines and integration solutions.
- Experience with data warehouses, data lakes, modern data platforms, and cloud technologies.
- Understanding of data security, governance, and data quality.
Good to Have
- Experience with Spark, Databricks, Airflow, Kafka, dbt, or Snowflake.
- Experience with AWS, Azure, or Google Cloud.
- Experience with CI/CD, DevOps, data modelling, metadata, data lineage, or data cataloguing.
About the Employer
BRN/UEN: 200818951C
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