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Data Engineer

Salary undisclosed

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About the company:

The company is a prominent multi-level marketing (MLM) company specializing in health supplements, personal care products, and lifestyle goods. They aim to empower individuals to achieve financial independence while promoting a healthy lifestyle.

Job Responsibilities:

  • Data Collection and Integration: Gather data from various sources, including internal databases and external APIs, and integrate it into our data ecosystem.
  • Data Transformation: Clean, preprocess, and transform raw data into a usable format for analysis and reporting.
  • Data Pipeline Development: Design and maintain data pipelines for efficient and automated data processing.
  • Database Management: Administer and maintain our databases, ensuring data accuracy, security, and availability.
  • Data Warehousing: Build and manage data warehouses for storage and easy access to business-critical data.
  • ETL Processes: Develop and optimize Extract, Transform, Load (ETL) processes for efficient data movement.
  • Data Quality Assurance: Implement data quality checks and ensure data accuracy and consistency.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver on data-related projects.

Requirements:

  • Min 2 years of direct experience.
  • Strong proficiency in SQL and experience with relational databases (e.g., MySQL).
  • Proficient in ETL (Extract, Transform, Load) processes and tools (e.g., Fivetran).
  • Experience with big data technologies (e.g., Hadoop, Spark) and data pipeline tools.
  • Experience with cloud-based data platforms (e.g., AWS, Google Cloud, Azure) is a plus.
  • Strong understanding of data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Databricks).
  • Experience with scripting languages (e.g., Python) for data processing and automation.
  • Knowledge of data modelling, schema design, and data architecture principles.
  • Familiarity with API integration and data collection from external sources.

Consultant in-charge:

Tracy Lee | [email protected] | 010-391-2633