Senior Data Engineer

Job Objective:

Building a platform with strong architecture
Be part of the data & and analytics center of excellence (CoE) working on a wide range of data infrastructure and data engineering projects across

Key Responsibilities
Data Architecture:

Architects, Designs, Builds, Develops, Maintains, and Implements new data systems where needed, the Architecture with best practices and data infrastructure reliable and scalable.
Proactively drive the effort of identifying opportunities to manage data and provide data solutions.
Drive the delivery of data products and services into systems and business processes in compliance with internal regulatory requirements.
Oversee the review of internal and external business and product requirements for data operations and activity and suggest changes and upgrades to systems and storage to accommodate ongoing needs
Responsible for deploying secure and well- tested software that meets privacy and compliance requirements, and maintains and improves CI / CD pipeline.
Evaluate various data architectures in the market and utilize them to develop data solutions to meet business requirements.

Data Integration:

Design, build, and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis and real- time analytics platforms for critical decision- making, support of data and analytics projects, integrating new sources of data into our central data warehouse to meet business requirements, and experience building and optimizing ‘big data’ architectures for read- and- write performance.
Ensure data is accessible to the required personnel to ensure the ease of understanding and access to the data needed to make informed business decisions.
Experience with building reports and data visualizations, using data from the data warehouse or other sources and mapping are helpful (but not required)
Monitoring and quality assurance within the system (Server/ Services/ETL /Networking/Security).
Review and analyze existing data systems, and make recommendations on improvement, maintenance, or other factors to improve the system, automate manual processes, optimize data delivery, and re- design infrastructure for scale and performance and greater scalability
Manage and enhance to ensure that DWH, Data mart and BI tools work stably through aligned business/ system/ and data processes.
Ensure data assets are organized and stored efficiently so that information is high quality, reliable, flexible, and efficient.

Project Management:

The role plays is highly collaborative and, as such, works closely with data analysts, data scientists, and other data consumers within the business.
Work with team leads to resolve people problems and projects to ensure maximum productivity.
Establishes the documentation of reports, data infrastructure, privacy controls and develops, maintains technical specification documentation, and processes, and effectively manages data systems that have the relevant security.
Understand business and technical requirements and constraints to design effective software solutions.
Experience working in Agile teams to lead successful digital transformation projects, having mastered Agile principles, practices, and Scrum methodologies
Effective time management skills, including demonstrated ability to manage and prioritize multiple tasks and projects.
Strong stakeholder management and collaboration with them to understand user requirements

Good at math and Advanced SQL knowledge and experience working with relational databases as well as working familiarity with a variety of databases is a big plus.
Experience with the LAN or VLAN, and digital organizing tools, like Active Directory Action Network, ActionKit, or Blue State Digital, is a plus (but not required).
Experience with building data pipelines from various business applications like Salesforce, Marketo, NetSuite, Workday, Odoo,… and databases (MsSQL, Oracle, IBM, SAP, MySQL, AWS Redshift).
Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend, Azkaban, Luigi, Airflow etc
Bachelor’s degree (or higher) in Computer Science, Software Engineering or Information Technology, MIS, Economics, Finance, Statistics, Mathematics, or a related field (Financial Services, Banking, Insurance, Securities).
Ability to communicate in English.
At least 3 years experience (typically 5+ years) in Data Engineering and ETL and Analytics tools (R, Python, Pentaho, dbt…) and BI&A Visualization systems (Metabase, Power BI, OBIEE, SAS VA, IBM, Yellowfin, Tableau, Qlik …), and In- depth knowledge of BI technologies, methodologies, and their application like Metabase, PowerBI, Tableau, Looker etc
Experience designing and implementing large- scale distributed data pipelines and working with cloud infrastructure services like AWS/GCP/Azure (preferably AWS), (Big Query, Data Flow, Amazon EKS, EMR, Docker/ECS, and Redshift.)
Good report- writing skills

Benefit:

Personal health and spouse insurance
Buying company products at a reduced and with promotional offers
Professional and Transparent working environment
Annual leave, Annual heath- check
100% salary during probationary period
Full social insurance following Vietnamese Law

Laptop, Chế độ bảo hiểm, Chế độ thưởng, Chăm sóc sức khỏe, Nghỉ phép năm

Cập nhật gần nhất lúc: 2024-04-03 11:41:56