Senior Data Engineer (HCMC) at TechX Corporation

, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AWS, ETL, CI/CD, Data Quality, Observability, Mentoring, System Design, Security, Feature Engineering, AIOps, Terraform, Containerization, Privacy, KMS, IAM

Industry

IT Services and IT Consulting

Description

Company Overview: At TechX, we are pioneers in delivering cutting-edge solutions that empower businesses to thrive in today’s digital landscape. With a strong focus on Cloud Transformation (AWS), Data Modernization, and Generative AI, we bring unparalleled expertise to drive innovation, efficiency, and growth for our clients. We specialize in banking and financial services, retail, manufacturing, and transportation, delivering impactful solutions that address industry-specific challenges and significant market shifts. Together, we’ll build a future where innovation knows no limits. Job Overview: We are looking for 1 Senior Data Engineer based in HCMC, leads architecture and designs for scalable realtime/batch feature delivery, security (cross-account PrivateLink/KMS), CI/CD and mentors the junior members for Synaptix - TechX’s AIOps platform that delivers operational intelligence, including anomaly detection, incident correlation and automated root-cause analysis (RCA) — to support CloudOps and DevOps workflows. Synaptix Data Engineers build, operate and continuously improve the data platform that powers Synaptix’s AIOps capabilities. You will implement production-grade batch and real time pipelines that turn logs/metrics/events into minute-level features for ML models and product services, ensure data quality and observability, and work closely with Data Science, MLOps, CloudOps and Product. Key Responsibilities: Build, test and operate ETL/ELT jobs (batch and near-realtime) to produce feature layers and curated datasets for Synaptix. Ingest and normalize telemetry sources (CloudWatch/ALB/WAF/K8s/network device logs etc.), store raw → curated → feature layers and maintain schema contracts/Glue catalog or equivalent. Implement data quality and validation (schema checks, DQ gates, unit tests), and maintain monitoring dashboards & alerts (freshness, throughput, error rates). Deploy data jobs via CI/CD, automate tests, and maintain runbooks/playbooks for incident triage. Produce clear documentation (data contracts, runbooks, onboarding docs) and contribute to team governance artifacts (SharePoint/ClickUp/PMO checkpoints). Architect E2E realtime and batch systems for high-frequency feature delivery (1–5 minute windows), including partitioning, state management, backpressure and exactly-once/idempotent processing strategies. Design secure cross-account integrations (PrivateLink, external IAM roles) and encryption/KMS policies for feature export to Synaptix. Define schema evolution & governance (JSON schema registry / Glue catalog), lineage and feature-store patterns. Lead CI/CD/IaC adoption (Terraform), optimize cost & performance, set SLAs/SLOs and own platform reliability. Mentor junior engineers, run architecture reviews, and coordinate with PMO/Product for milestone sign-offs. Key Requirements: 4+ years building and operating large-scale data platforms (both batch & realtime) in production. Deep hands-on experience with AWS (S3, Glue/Athena, Kinesis/MSK, Lambda) or equivalent; proven streaming platform design skills (Flink/Spark/Kafka). Strong system design experience: partitioning, state management, late/duplicate event handling, idempotency and scalability. Experience with secure cross-account data flows (PrivateLink/VPC patterns), KMS and IAM best practices. Track record owning CI/CD, Terraform/IaC, observability and enforcing SLAs/SLOs. Leadership: mentoring, technical reviews, and cross-team coordination. Nice to have: Experience with feature stores or ML feature engineering tooling (MLflow, model registry). Background in AIOps / RCA / observability domain or experience building features for ML models used in operational intelligence. Familiarity with containerization (Docker/K8s) and infra automation (Terraform). Knowledge of privacy & PII-safe pipelines, hashing/anonymization patterns. What We Offer: Innovative Environment: A dynamic and collaborative work environment where innovation is encouraged. Professional Growth: Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies. Competitive Package: Competitive salary and benefits package Impactful Work: The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success. Apply now! Due to the high volume of applicants, only shortlisted candidates will be contacted. We apologize for this inconvenience!

Responsibilities

The Senior Data Engineer will lead the architecture and design for scalable real-time and batch feature delivery, ensuring data quality and observability. They will also mentor junior engineers and coordinate with various teams for milestone sign-offs.