Data Engineer

4 weeks ago


Malaysia ZUS Coffee Full time

This job is for a Data Engineer who designs data pipelines, models data architectures on AWS, and ensures data security. You might like this job because you'll work with cutting-edge technology and make data-driven decisions.

Job Type: Full-Time

Posted: few hours ago

Job Description

Position Responsibilities

  • Design and Develop Data Pipelines: Create and maintain efficient, reliable, and scalable data pipelines that extract, transform, and load (ETL) data from diverse sources into AWS data storage systems.
  • Data Modeling and Architecture: Design and implement data models for data warehousing and data lakes on AWS, ensuring data integrity, performance, and scalability.
  • AWS Cloud Infrastructure: Utilize various AWS services such as Amazon S3, Amazon Redshift, AWS Glue, Amazon EMR, Amazon RDS, and others to build data solutions.
  • Data Transformation and Processing: Develop data transformation processes, including data cleansing, enrichment, and aggregation, to ensure data accuracy and consistency.
  • Performance Optimization: Identify and implement performance optimization techniques to enhance data processing speed and reduce latency in data pipelines.
  • Data Security and Compliance: Ensure that data handling practices comply with relevant data security and privacy regulations. Implement security measures to protect sensitive data.
  • Monitoring and Troubleshooting: Monitor data pipelines, data jobs, and data storage systems for issues and troubleshoot any data-related problems to ensure smooth data flow.
  • Continuous Improvement: Stay updated with the latest AWS services and data engineering best practices to propose and implement improvements to the existing data infrastructure.
Job Requirements

Qualifications & Experience

  • At least Bachelor's degree in Computer Science, Engineering, or a related field.
  • AWS Certified Data Analytics Specialty or similar certifications will be added advantage.
  • Proven experience as a Data Engineer for at least 1-2 years, specifically working with AWS data services and related technologies.
  • Strong knowledge of AWS services such as Amazon S3, Amazon Redshift, AWS Glue, Amazon EMR, Amazon RDS, and others.
  • Proficiency in programming languages such as Python, SQL, and familiarity with data manipulation frameworks/libraries.
  • Hands-on experience with data modeling, data warehousing concepts, and building data pipelines using ETL tools.
  • Knowledge of data streaming platforms and technologies such as Apache Kafka or Amazon Kinesis.
  • Familiarity with data governance, data security, and data privacy best practices.
  • Strong communication skills to effectively collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.
Skills
  • Amazon Web Services
  • Amazon S3
  • Amazon Redshift
  • Amazon Relational Database Services
  • Python (Programming Language)
  • SQL (Programming Language)
  • IBM InfoSphere (ETL Tools)
  • Xplenty (ETL Tools)
Company Benefits
  • Employee Discount: Enjoy employee discounts on beverage, merchandise, etc at all outlets across Malaysia.
  • Employee Perk Programmes: Establishment of corporate benefits to offer exclusive discounts or benefits to each employee.
  • Health and Wellness: Out-patient care and in-patient care are covered for all employees including ongoing wellness programs & activities.
  • Job Training: Job training and continuing education help to fuel employee career growth.
  • Extension Leave Benefits: Provide more generous leave days. We have more than 6 other types of leave
Additional Info
  • Experience Level: 1 - 3 Years of Experience
  • Job Specialisation: Computer Engineering, Data Science & Analytics
Company Profile

ZUS Coffee: For many, coffee is a daily need. Specialty coffee, however, is often seen as a luxury, something you treat yourself to only on special occasions. We started ZUS Coffee to change this perception. With the best quality ingredients, high-level coffee brewing technology and innovative business model, we're evolving the concept of coffee consumption to make specialty coffee affordable for everyone, every day.

#J-18808-Ljbffr
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