Data Engineer
At a glance
Mid-level Data Engineering role at Makro PRO. Shanghai.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after scalable data pipelines and ETL workflows
- Set up data warehouses and lakes, then improve storage and query efficiency
- Work with data scientists and analysts to shape data access around their needs
- Maintain data models, schemas, and controls that support reliable, secure data
- Guide junior engineers and bring new data tools into the stack
What you bring
- A degree in computer science, engineering, or a related subject
- At least five years in data engineering or a related role
- Strong coding ability in Python, Java, or Scala, plus SQL and relational and NoSQL database experience
- Hands-on knowledge of Hadoop, Spark, Hive, cloud data services, and data modeling or ETL practices
Who this fits
This role suits a mid-level data engineer comfortable owning pipelines and working with data scientists, analysts, and other teams. You’ll work onsite in Shanghai and provide technical guidance to junior engineers.
From the employer
We are seeking an experienced Senior Data Engineer to design, implement, and maintain our data infrastructure and pipelines. The ideal candidate will have a strong background in data engineering, big data technologies, and cloud platforms. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient and reliable data processing and storage solutions and who has mind set things to done
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes
- Implement and optimize data storage solutions, including data warehouses and data lakes
- Collaborate with data scientists and analysts to understand data requirements and provide efficient data access
- Ensure data quality, consistency, and reliability across all data systems
- Develop and maintain data models and schemas
- Implement data security and access control measures
- Optimize query performance and data retrieval processes
- Evaluate and integrate new data technologies and tools
- Mentor junior data engineers and provide technical leadership
- Collaborate with cross-functional teams to support data-driven decision-making
Requirements
- Bachelor's or master’s degree in computer science, Engineering, or a related field
- 5+ years of experience in data engineering or related roles
- Strong programming skills in Python, Java, or Scala
- Extensive experience with big data technologies such as Hadoop, Spark, and Hive
- Proficiency in SQL and experience with both relational and NoSQL databases
- Experience with cloud platforms (AWS, Azure,) and their data services
- Knowledge of data modeling, data warehousing, and ETL best practices
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration skills as well
Preferred Qualifications
- Experience with stream processing technologies (eg Kafka, Flink or delta live table )
- Familiarity with data governance and compliance requirements
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
- Contributions to open-source projects or relevant certifications
- Experience in Tencent big data platform
- Experience in PowerBI will be preferable
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Data Engineering
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