(Senior) Data Ops Engineer

2 weeks ago

Ho Chi Minh City, Vietnam HSC Full time

**KEY RESPONSIBILITIES**:
**Primary Objectives**
- Develop ETL/ELT solutions using Azure cloud services, and open-source tools to load data across multiple sources into the HSC Cloud Data platform within databricks.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.

**Main responsibilities**
- Design and development of data engineering assets and scalable engineering frameworks to support various Business unit’s data demands and internal data analytics activities.
- Evaluate data importance and manage production of data pipelines.
- Code, test, and document new or modified data models and ETL/ELT tools to create robust and scalable data assets for reporting and analytics.
- Build data engineering framework to support Data Migration to Azure Cloud technologies and deliver new projects as per new target architecture within Azure data cloud service.
- Expand and increase data platform capabilities to resolve new data problems and challenges by identifying, sourcing, and integrating new data.
- Peer review code and promote dev ops culture within data team.
- Implement solutions that adhere to architecture best practices.
- Contribute to our ambition to develop a best practice Data and Analytics platform, leveraging next generation cloud technologies.
- Define and build the data pipelines that will enable faster, better, data-informed decision-making within the business.
- Work on cross-functional solutions focussing on business and process improvement.
- Enhance the quality of data following the guidelines provided by the HSC Data Quality Framework
- Cataloging data dictionary and ability to maintain it ongoing.
- Maintain data within a warehouse environment supporting delivery of quality data outputs.
- Maintain platform performing regular tasks such as user management and audit, resource utilisation, alerts monitoring, code reviews.
- Modify existing ETL processes in order to achieve automation where possible and to accommodate changes in the data structure.
- Have a good understanding of data platform best practices to achieve economies of scale, cost reduction and efficiencies.

**JOB REQUIREMENTS**:
**1. Education level**
- Bachelor’s degree in information technology, business, or related field, or equivalent combination of education and experience required.

**2. Knowledge & Experiences**
- At least 1-3 years experience in Dev Ops/ Data Ops/ Data Engineer.
- Hands on experience in building ETL/ELT solutions for large scale data pipelines on cloud platforms. Hands on experience on SQL Server and Snowflake/Databricks data warehouses or equivalent warehouses.
- Hands on experience in data processing (using Spark, Python) for cloud data platforms, scheduling, and monitoring of ETL/ELT jobs in Azure Data Factory or equivalent tools.
- Hands on experience in solution architecture, data ingestion, query optimisation, data segregation, ETL, ELT, CI/CD framework.
- Experience using Data Ops to develop data flows and the continuous use of data - Experience with cloud-based technologies.
- Experience in developing technical and support documentation.

**3. Technical skills**
- Ability to write various documents such as functional requirements.
- Good understanding of databases and data structures.
- Understanding of privacy laws and regulations.
- Basic level proficiency with Microsoft Word, Excel, Access, Project, and Outlook.

**4. Soft skills**
- Strong analytical and time management skills.
- Excellent written and verbal communication skills.

Lương**:Thỏa Thuận**

Địa điểm: Trụ sở chính - Hồ Chí Minh

Phòng ban: Operations

Hạn nộp hồ sơ: 20/05 — 23/06/2024

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