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Mô Tả Công Việc
Overall Job Purpose
- The Senior Data Engineer will be part of Data Engineering team which is creating, maintaining,
scaling and improving the enterprise data platform providing the data for AI/Data Science
solutions, applications/tools, and other digital use cases.
Core Responsibilities
- Design, develop, and maintain robust, scalable and sustainable data products and build &
optimize data pipeline and infrastructure. - Collaborate with stakeholders to understand their data requirements and translate them into
technical solutions. - Identify and implement data quality monitoring and validation processes to ensure data
integrity. - Implement data quality frameworks and ensure data governance best practices, including data
lineage, data documentation, and data security. - Build out the infrastructure required for optimal extraction, transformation, and loading of
data from a wide variety of data sources using Synapse, ADF, Spark, Kafka, or similar
technologies. - Work closely with Data Analysts and Data Architect to support their data needs and enable
advanced analytics and machine learning initiatives. - Contribute to the development of the organization's data strategy, including evaluating new
technologies, tools, and frameworks to enhance the data engineering ecosystem.
Yêu Cầu Công Việc
Educational Qualification & Experience:
- BA/BS degree in Computer Science, Computer Engineering, Electrical Engineering or related
technical field - 4-8 years to total IT experience preferably in field of data engineering
- 4+ years' experience with Azure services including IAM, Synapse, DataLake, SQL Server, ADF
etc. - 2+ years' experience in creating and deploying docker containers on Kubernetes.
- 2+ years' experience in supporting development teams on Kubernetes best practices,
troubleshooting, and performance optimization. - 2+ years' experience with CI/CD pipelines toll such as Jenkins and GitHub Actions
- 2+ years' experience with Synapse data warehousing and data lake solutions
- Strong programming skill in Python, PySpark and SQL
- 4+ years of experience in scripting and automation using languages such as Bash, Python, or Go2+ years of experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation and containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of Agile methodologies and software development lifecycle processes
- Proven experience in designing and implementing large-scale data solutions, including data
pipelines and ETL processes on Azure.
Required Knowledge:
- Troubleshoot and resolve data-related issues, performance bottlenecks, and scalability
challenges on Azure - Solid understanding of DevOps principles and experience with infrastructure automation using
tools like Terraform or CloudFormation. - Hands-on experience with cloud platforms - Azure, and related services (e.g., Synapse, Data
Lake, etc.). - Understandings of data warehousing concepts and best practices
- Work closely with stakeholders to understand business requirements and translate them into
data solution designs. - Strong understanding of data architecture principles, data modelling techniques, and data
integration patterns.
Language(s) and Software:
- Excellent in English (speaking and writing)
Key Behaviors:
Soft Skills (Professional) List maximum 3
a) Excellent communication skills with a strong technology focus.
b) Excellent analytical abilities.
c) Problem Solving – providing sustainable solutions.
Hình thức
Quyền Lợi
- 13th month salary
- Retention bonus/ Discretionary bonus
- Annual salary review
- Medical treatment expenses as per Company’s Healthcare plan
- Personal accident & term-life insurance for immediate family member (legal spouse/children)
- Annual medical check-up program
- 16 days of annual leave for 1st one year of service.
- Mobile phone allowance
- Working equipment: new laptop
Mức lương
Thỏa thuận
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