SalaryPeak

Data Warehouse Engineer - KT

DCI CONSULTANTS PRIVATE LIMITED
Singapore 1+ years Posted 5d ago

Salary Range

SGD 36,000 - SGD 51,600 /year

SGD 3,000 - SGD 4,300/month

Skills Required

Liaising with cross functional teamsOwnershipsystems reliabilityContinuous ImprovementData Pipelinetrack record of recruitmentsData QualityTransformationAttention to DetailAnalytical Problem Solving

Job Description

We are seeking a skilled and detail-oriented Data Warehouse Engineer to support the setup, configuration, maintenance, and optimisation of database environments that enable data-driven and AI-related workloads. The role will be responsible for managing data pipelines, ensuring data availability and integrity, supporting data preparation activities, and maintaining reliable database operations for project execution.

The Data Warehouse Engineer will work closely with data, AI, and application teams to ensure that data platforms are stable, scalable, well-documented, and optimised for performance.

Required Skills and Experience

  • Experience in database administration, data warehousing, data engineering, or a related technical role.

  • Strong understanding of database concepts, data warehouse architecture, ETL/ELT processes, and data pipeline management.

  • Hands-on experience with SQL and database performance tuning.

  • Familiarity with data extraction, transformation, and loading processes.

  • Experience in troubleshooting database, data pipeline, or data availability issues.

  • Understanding of data integrity, data quality, and system reliability principles.

  • Ability to work with cross-functional teams, including data, AI, application, and infrastructure teams.

  • Strong analytical, problem-solving, and documentation skills.

Preferred Skills

  • Experience supporting AI, machine learning, or analytics-related workloads.

  • Familiarity with cloud data platforms, data lakes, or modern data warehouse technologies.

  • Experience with tools or platforms such as SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, Databricks, Azure Synapse, AWS Redshift, or Google BigQuery.

  • Knowledge of workflow orchestration or data pipeline tools such as Azure Data Factory, Airflow, Informatica, Talend, or similar platforms.

  • Understanding of data security, access controls, backup, recovery, and compliance requirements.

Qualifications

  • Diploma or Degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.

  • Relevant certifications in database administration, cloud platforms, or data engineering would be an advantage.

Key Competencies

  • Strong attention to detail

  • Analytical and structured problem-solving

  • Good communication and stakeholder coordination skills

  • Ability to work independently and as part of a project team

  • Strong ownership and accountability

  • Continuous improvement mindset


    **We regret to inform that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**