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Data Team Lead – Senior Data Engineer, Good English
Siam Makro Public Company LimitedSenior Data Engineer responsible for designing and maintaining data infrastructure for local team. Collaborating with global teams to ensure reliable data processing and storage solutions.
Tech Stack
Tools & technologiesAWSAzureCloudDockerETLHadoopJavaKafkaKubernetesNoSQLPythonScalaSparkSQL
About the role
Key responsibilities & impact- Job Summary:
- This is the contact point for the local team to work closely with the headquarter teams. 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
What you’ll need- Bachelor's or master's degree in computer science, Engineering, or a related field
- 7+ 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
Benefits
Comp & perks- - 16~20 days of fully-paid annual leaves
- - Full social insurance and housing fund
- - Year-end bonus
- - WLB
- - No business trip
- Best CultureClear focus.
- Diverse Workplace (Our members are from around the world!)
- Non-hierarchical and agile environment
- Growth opportunity and career path
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Python ProgrammingJava ProgrammingScala ProgrammingHadoopSparkHiveSQLNoSQL DatabasesData WarehousingETL Best Practices
Soft Skills
Problem-SolvingAttention to DetailCommunicationCollaboration
Certifications
Open-Source Contributions