Job Description

About the job Data EngineerAbout the company:\xef\xbb\xbfThe 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.\xef\xbb\xbf

Requirements:

• \xef\xbb\xbfMin 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 | tracy.lee@hunters-in.com | 010-391-2633

Hunters International