Data Engineer Lead
Enginering DevOps Leadership Skills Engineering Python Data Cloud SQL
Salary
Location
Benefits
Full social insurance
Flexible working time
Salary review
Travel/company trips
Laptop/desktop for works
Performance bonus
Extra health insurance
13th month salary
Others
Work-from-home policy
Job Overview And Responsibility
Be a part of building the ideal data ecosystem from scratch. Ensuring the right data is generated from all applications and sourced at the right velocity with the complete depth and breadth to ensure complete coverage and reuse. This is your opportunity to build new, not fix old. This is a people leadership role (up to 5 members in a team squad) with broad responsibilities across many aspects of our data enablement value stream. • Define, create and publish the data architecture standards for all applications and infrastructure across the portfolio. • Create operational data solutions that will power our new mobile apps (iOS and Android) • Analyze systems that will be used to build brand new Machine Learning models. • Operate Marketing Tech systems to provide personalized real-time in-context service and marketing messages to customers that are relevant, useful and sensitive. • Enable and lead a team of Data Engineers to be the most creative and the best they can be. • Influence our Cloud provider’s product roadmaps to ensure they meet our needs.
Required Skills and Experience
• At least 8 years of experience in total at Data Engineering or at a similar role • 3 years of experience at a leader role • Experience with DataOps • Strong Cloud-based Data Engineering experience in one of the following Clouds (AWS/Azure/GCP); we mainly use GCP but we are open to your Cloud experience (with at least 2 years of working on Cloud) - As GCP Cloud Data Engineer: You must be strong at General Infrastructure and Services and particular data services such as Big Query, Dataflow, Airflow, Cloud Function, etc. - As AWS Cloud Data Engineer: You must be strong at AWS technologies as the followings: data pipeline (Lake Formation, MWAA, EMR, S3, Glue and Athena); Data Warehousing technologies (AWS Redshift) - As Azure Cloud Data Engineer: You must be strong at Azure Data Lake Storage, Azure Databricks and Azure Data Factory, Synapse, etc. • Proven successful design and implementation of large and complex data solutions (Data Warehouse, Data Lake) using various architectural patterns such as Microservices • Experience with Advanced SQL and Python skills • Experience in using DevOps while working on Cloud data platforms like using Terraform for Infrastructure as Code (IaC), GitOps or using Docker, Kubernetes • Good education background of Information Technology (IT) and Information and Communication Technology (ICT) • Ability to influence both technical and business peers and stakeholders • Leadership experience in engineering teams, not just their technical skills but also their careers and ambitions since you are passionate and empathetic. For example – jump on the tools when required to support the team • Good command of English verbal communication
Why Candidate should apply this position
• Hybrid working mode (3 working days at office, flexible time) • Salary: Please completely feel free to tell us your expected number!!! • 18 paid leaves/year (12 annual leaves and 6 personal leaves) • Insurance plan based on full salary + 13th month salary + Performance bonus • Meal allowance of 730,000 VND/month • 100% full salary and benefits as an official employee from the 1st day of working • Medical benefit for employee and family • Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 49 countries) • Free snacks, refreshment, and parking • Internal training (Technical & Functional & English) • Working time: 08:30 AM - 06:00 PM from Mondays to Fridays (meal breaks included)
Preferred skills and experiences
• If you have work experience with Marketing domains, you will be preferred
Report to
Direct Manager
Interview process
3 rounds (1 round with HCL Tech, 2 rounds with clients, mostly online interview but some time offline at HCL’s office if needed)
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