Data Engineer: Cloud Pipelines, Snowflake & Power BI

DPE Global Services Centre (Malaysia)

Petaling Jaya

On-site

MYR 90,000 - 130,000

Full time

6 days ago
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Job summary

DPE Global Services Centre (Malaysia) is seeking a Data Engineer to collaborate with business stakeholders to solve data accessibility challenges and promote data-driven decision making. You will create and manage data pipelines aligned to standards and best practices.

The role requires hands-on experience with T-SQL, data pipelines, data modelling, Power BI, Snowflake, Azure Data Factory, and GDPR compliance.

Qualifications

  • At least 4+ years’ experience with T-SQL.
  • Experience creating data pipelines including inbound/outbound feeds and data transformation.
  • Strong data modelling including Data Warehouse modelling.
  • Power BI modelling experience.
  • Excellent communication and time management skills.
  • Ability to self-learn new technologies.
  • Experience with GDPR awareness and compliance.
  • Snowflake Cloud Data Warehouse experience.
  • Azure Data Factory experience.
  • Experience or understanding of GDPR.
  • SSRS, SSIS and SSAS experience.

Responsibilities

  • Work with Data Engineering Team Lead to provide solutions addressing project requirements; adhere to data standards.
  • Ensure production processes and pipelines function correctly and scale.
  • Understand data compliance requirements and ensure pipelines/models comply.
  • Create and maintain documentation as required.
  • Coordinate with Operations for release detail and change control.
  • Support the team (Dev and Ops) when required.
  • Log timesheets against project work.

Skills

Communication skills
Time management
Organisational skills
Problem solving
Self-learning
Emerging technologies
GDPR awareness

Tools

T-SQL
Azure Data Factory
Snowflake
Power BI
SSIS
SSRS
SSAS

Job description

DPE Global Services Centre (Malaysia) is seeking a Data Engineer to collaborate with business stakeholders to solve data accessibility challenges and promote data-driven decision making. You will create and manage data pipelines aligned to standards and best practices.

The role requires hands-on experience with T-SQL, data pipelines, data modelling, Power BI, Snowflake, Azure Data Factory, and GDPR compliance.

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