Data Engineer

SolveIT Consultant

Cyberjaya

On-site

MYR 90,000 - 150,000

Full time

5 days ago
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Job summary

SolveIT Consultant in Malaysia is seeking a Data Engineer to build and maintain ETL/ELT data pipelines, and to develop data transformations using Python and SQL across cloud data platforms and data warehouses.

The role involves supporting batch and real-time data processing, ensuring data quality and performance, and collaborating with analysts, data scientists, and business teams. Experience with Snowflake, AWS/Azure/Google data tools is preferred.

Qualifications

  • 3+ years of Data Engineering experience.
  • Strong Python and SQL skills.
  • Hands-on with ETL/ELT development.

Responsibilities

  • Build and maintain ETL/ELT data pipelines.
  • Develop data transformations using Python and SQL.
  • Manage cloud-based data platforms and data warehouses.
  • Support batch and real-time data processing.
  • Ensure data quality, monitoring, and performance.
  • Collaborate with analysts, data scientists, and business teams.
  • Participate in code reviews, testing, and CI/CD.

Skills

Data Engineering
Python
SQL
ETL/ELT development

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

Snowflake
Microsoft Fabric
AWS Glue/Redshift
Azure Data Lake
Google BigQuery
Airflow
DBT
Spark/Dask
Git
CI/CD
Power BI
Apache Superset

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

Key Responsibilities
  • Build and maintain ETL/ELT data pipelines.
  • Develop data transformations using Python and SQL.
  • Manage cloud-based data platforms and data warehouses.
  • Support batch and real-time data processing.
  • Ensure data quality, monitoring, and performance.
  • Collaborate with analysts, data scientists, and business teams.
  • Participate in code reviews, testing, and CI/CD.
Required Skills
  • 3+ years of Data Engineering experience.
  • Strong Python and SQL skills.
  • Hands-on with ETL/ELT development.
  • Experience with Snowflake, Microsoft Fabric, AWS (Glue/Redshift), Azure Data Lake, or Google BigQuery.
  • Knowledge of Data Modeling, Airflow, DBT, Spark/Dask, Git, and CI/CD.
  • Exposure to Power BI or Apache Superset.
Qualification
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Strong problem-solving, communication, and teamwork skills.
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