Senior Data Engineer

We’re hiring a Senior Data Engineer, involving mentoring data engineers, driving MLOps best practices, and supporting presales and proposals through solution design, estimation, and technical presentations to customers. Experience with AIOps/MLOps, data observability, and AI platform optimization is a strong plus

Data Engineering

• Design and develop scalable data architectures using Snowflake/Databricks and other modern data stack technologies to support Big Data workloads.
• Implement, monitor, and maintain high-performance ELT/ETL pipelines.
• Collaborate with Data Engineering teams to operationalize models in production environments.
• Implement MLOps pipelines for model versioning, CI/CD, monitoring, and retraining (using tools such as SageMaker, Vertex AI, or MLflow).
• Define and track model performance metrics, data drift, and retraining triggers.
• Integrate observability and AIOps tools for proactive issue detection and system resilience.
• Mentor junior data scientists and analysts through code reviews, modeling best practices, and project guidance.
• Drive model governance, documentation, and experimentation culture across the team.
• Partner with engineering and business leaders to define data science strategy and delivery roadmap.
• Work closely with business and sales teams to understand customer challenges and translate them into AI/ML solutions.
• Support proposal creation, including architecture options, effort estimation, and value articulation.
• Deliver presentations, demos, and technical discussions to help clients understand model capabilities and outcomes.
• Explore and evaluate emerging trends in AI/ML, generative AI, and LLMs to guide platform evolution.
• Prototype and benchmark new models or frameworks to improve performance, cost, and explainability.
• Contribute to reusable assets, accelerators, and internal knowledge sharing.

• 4+ years in Data Science or Applied Machine Learning, including in a senior or team lead role.
• Strong hands-on experience across both AWS and GCP ecosystems:

• AWS: S3, SageMaker, Glue/EMR, Lambda, Step Functions, Athena, Redshift.
• GCP: BigQuery, Vertex AI, Dataflow, Dataproc, Composer (Airflow), Pub/Sub.

• Proficiency in Python, including libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, and XGBoost.
• Strong foundation in statistics, experimentation (A/B testing), and hypothesis validation.
• Skilled in SQL and data manipulation for large-scale analytics.
• Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker Pipelines, Vertex Pipelines).
• Understanding of data modeling, feature stores, version control, and reproducible experiments.
• Experience with IaC (Terraform/CloudFormation) and containerization (Docker/Kubernetes) is a plus.
• Knowledge of data governance, privacy, and compliance (GDPR-style controls, PII management).
• Good command of English

Strong Pluses

• Experience with Databricks, Snowflake, or other unified data platforms.
• Knowledge of AIOps, data observability, and quality monitoring tools (Great Expectations, Monte Carlo, Soda).
• Proven track record in AI solution presales, technical proposals, and executive-level communication.
• Exposure to LLM-based solutions, generative AI, or RAG (Retrieval-Augmented Generation) architectures.
• Domain experience: biotechnology, bioinformatics, genomics, or healthcare data analytics.

What could we offer you?

• Working and growing with a group of diverse talents that is cross-functioning, self-organizing, and empowered to deliver values to our clients.
• Enjoy the English training program and other professional skills training courses delivered by our experts.
• Enjoy a professional working environment, where people asses each other honestly, communicate openly and support each other enthusiastically.
• Fully equipped at work.

Attractive bonuses and compensations:

• Performance Bonus: up to 1.5 months, based on individual performance and the company’s overall annual revenue.
• 100% salary during probation.
• Annual health check-up and premium health insurance at luxurious private clinics in Vietnam.
• Extra annual leave +2 days for every 5 years of work.
• Welfare visits.
• Various in-house training programs: technical training from experts, quarterly seminars, Cloud-services training program, soft skills sharing sessions, etc.

Various indoor and outdoor activities including:

• PlayStation 5 (PS5), and board games (table tennis, table football, chess) during break time.
• Sports clubs like badminton and football for sports fans with quarterly competitions and amazing awards for champions.
• A spacious pantry with free snacks, instant noodles, and coffee.
• Company trip, year-end party, team building gathering
• Have fun as you work, learn, and play.