Back to SearchJunior Data Integration Engineer
Hybrid in Malaysia: Kuala Lumpur
Data Integration& 3 others
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We are seeking a Junior Data Integration Engineer to support the development and delivery of analytics-ready data products. You will work on ETL/ELT pipelines, transform and model data in a cloud data warehouse, contribute to trusted datasets and reporting layers used by the business and data issue resolution while building practical experience with modern data engineering tools, cloud solutions, and delivery best practices.
Responsibilities
- Build and maintain ETL/ELT pipelines to ingest and transform data into analytics-ready datasets
- Develop and maintain data models (e.g., star schema concepts, facts/dimensions, grains, keys) for reporting and analytical use cases
- Gain practical proficiency with modern data engineering tools and technologies
- Apply analytics engineering best practices: version control, reusable patterns, documentation, and basic automated checks/tests
- Write clean, efficient, well-documented SQL for transformations and analytics layers; use Python where appropriate for automation and data handling
- Contribute to high-quality, timely software delivery projects
- Resolve data-related issues effectively
Requirements
- Bachelor’s Degree in Information Technology, Computer Science or related field
- Experience in software implementation, delivery or related roles
- Proficient in Python and SQL with strong understanding of basic data structures
- Fundamental understanding of at least one software development lifecycle (SDLC) methodology, such as Waterfall or Agile
- Fundamental understanding of data modelling concepts (facts vs dimensions, grain, primary/foreign keys, normalization vs denormalization)
- Basic understanding of analytics/data lifecycle: source → transform → model → validate → publish/consume
- Proactive learning mindset with a strong desire to adopt new technologies and methodologies
- Demonstrated problem-solving skills and meticulous attention to detail
Nice to have
- Experience in data warehousing implementation or data-related projects
- Familiarity with a cloud data warehouse (Synapse, BigQuery / Snowflake / Redshift / Databricks SQL) and basic performance concepts (partitioning, clustering, query cost)
- Familiarity with orchestration/tools (ADF, Airflow, Prefect) and data quality/testing concepts
- Experience with cloud platforms (AWS, Azure, GCP)