jobs in Encora Inc.

全职 Data Engineer 工作, 薪水, Encora Inc. Federal Territory 公司招聘中 - Ricebowl

Data Engineer

Encora Inc.

Undisclosed

KL City, Federal Territory

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工作地点

  • Kuala Lumpur Federal Territory Malaysia

职位描述

岗位职责

About the Role

We are looking for a Senior Data Engineer with strong experience in modern data platforms and cloud-based architectures. The ideal candidate has deep hands-on experience with Snowflake or Databricks, has built scalable data pipelines, and is proficient in Azure cloud services.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
  • Develop and optimize data lake and data warehouse solutions using Snowflake and/or Databricks.
  • Implement data ingestion, transformation, and processing frameworks for structured and unstructured datasets.
  • Work closely with cross-functional teams (Data Analytics, Data Science, Product, Engineering) to support data consumption needs.
  • Build reusable and modular data pipeline components aligned with best practices.
  • Implement data quality validation, reconciliation, and monitoring controls.
  • Optimize performance for data storage, compute, and query execution.
  • Ensure adherence to data governance, security standards, and compliance requirements.
  • Participate in solution architecture discussions and contribute to technical design decisions.

Required Skills & Experience

  • 7–8+ years of hands-on experience as a Data Engineer.
  • Strong experience in Snowflake and/or Databricks (any one is fine, both preferred).
  • Hands-on experience on Azure Cloud (e.g., Azure Data Factory, ADLS, Azure Synapse, Azure Key Vault, Azure Functions, Azure DevOps).
  • Expertise in SQL and performance tuning for large datasets.
  • Experience developing ETL/ELT pipelines using modern data frameworks.
  • Proficiency with scripting languages such as Python or Scala.
  • Experience with data modeling techniques (star schema, normalized models, dimensional modeling).
  • Experience with CI/CD for data pipelines and version control (Git).
  • Exposure to data governance, metadata management, and data quality frameworks.

重要安全守则

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