Full Time Data Engineer Jobs, in Net2Source Inc. Federal Territory - Maukerja

Experience - 5+ Years

Location - Malaysia (KL)

Preferred Local Malaysian Candidate

Role Overview:

Data Engineer : We are seeking a Data Engineer with approximately 5 years of experience to support the development and operation of scalable data pipelines and cloud-based analytics platforms. The role focuses on building reliable ETL/ELT workflows, managing modern data platforms, and enabling analytics and AI-driven use cases in collaboration with cross-functional teams.

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:
• Snowflake
• Microsoft Fabric (OneLake, Lakehouse, Data Pipelines)
• 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.
• 5 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.