Data Engineer

1 week ago

Kuala Lumpur, Kuala Lumpur, Malaysia Hyppies Full time

Data Engineers

Seniority: Mid to Senior to Principal to Staff

Industries: Across industries such as banking, fintech, digital banking, AI-driven organization, FMCG.

Working Arrangement: Some hybrid, some are fully onsite - flexi hours however.

Description:

  • Some roles focus purely on data engineering, while others have expectations on data architecture or focus on data engineering support/incident response
  • Some expect experience with real-time data streaming, while others are okay with just batch processing

Requirements:

If you have strong expertise in any of these skillsets, feel free to apply:

  • Years of experience: 2 to 12+ years depending on the seniority you are looking for. Multiple clients are looking candidates across multiple seniorities
  • Great in at least one of the competencies/skills below:
  • Hadoop
  • Pyspark
  • Spark
  • AWS/GCP/Azure
  • Apache Iceberg
  • DBT
  • Snowflake
  • Databricks/Airflow
  • Competency in Python is a must.
  • Appreciation/understanding on the tools pros/cons as well as contextual strength/limitations are always appreciated

Benefits and Culture: Will share this separately depending on the role of your choice.

Should you be keen with exploring opportunities within data engineering, feel free to apply or drop me an email via

Job Type: Full-time

Pay: RM5, RM25,000.00 per month

Work Location: In person

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