GIẢI PHÁP PHÂN TÍCH DỮ LIỆU INSIGHT DATA 5.0 ★

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

You will join a dedicated team of hybrid working data professionals, including data scientists, analysts, and software engineers. We are committed to driving our data strategy forward through solutions and a collaborative approach. Our mission is to ensure that data is accessible, reliable, and used to its fullest potential to support our goals.

Get to Know the Role

As a Senior Data Engineer, you will architect scalable data pipelines and systems. Your role involves close collaboration with multiple teams to ensure seamless data integration, processing, and delivery. You will enhance our data architecture with your expertise in big data technologies, focusing on reliability, scalability, and performance.

The Critical Tasks You Will Perform

• You will develop scalable data pipelines and ETL (Extract, Transform, Load) processes, focusing on data extraction, transformation, and loading into our data warehouse.
• You will collaborate with partners to gather and understand data requirements, translating them into technical solutions that align with our goals and reporting to the team Senior Engineering Manager
• You will architect data models and schemas for efficient storage, retrieval, and analysis of structured and unstructured data.
• You will implement best practices for data quality, governance, and security, ensuring the integrity of data assets.
• You will optimize the performance and scalability of data infrastructure, using cloud services and distributed computing technologies.
• You will implement new tools, frameworks, and technologies to enhance our data platform's capabilities.
• You will mentor junior team members, offering guidance on technical design, coding standards.
• You will stay current with industry trends and advancements in data engineering, contributing to continuous improvement and new ideas.
  
  

Qualifications

What Essential Skills You Will Need

• Over 5 years of experience in data engineering with a ability to develop scalable systems.
• Proficiency in programming languages such as Python or Scala and experience with data processing frameworks like Spark or Presto.
• Hands-on experience with workflow management platforms such as Airflow.
• Understanding of data formats like Avro, Parquet, Delta, ORC.
• Knowledge of relational and NoSQL databases, data modeling, and SQL query optimization.
• Familiarity with stream processing technologies such as Kafka or Flink.
• For troubleshooting complex data issues.
• Experience communicating updates and resolutions to customers and other partners to work with teams and convey technical information to non-technical partners.
  
  

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
  
  

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.