(Junior - Senior) Data Engineer (ETL, Python, Azure)

JOB DESCRIPTION

Support data architecture roadmap by managing data models, data store/warehouse, information management, and advanced data analytics.
Utilize tools and techniques for data management and data quality.
Support DataOps deployments, configurations, and complex data architectures, ensuring documentation meets
current and forecasted needs.
Collaborate and work with data stakeholders to ensure that data and reports meet their business needs.
Develop logical and physical data models for complex projects using both relational and other modeling techniques and approaches.
Developing ETL specifications and mappings to support data conversion and integration from a wide variety of source systems.
Stay up to date with emerging data technologies and provide an understanding of how to adopt and apply new patterns.

JOB REQUIREMENT

General requirements:
At least an intermediate level of English level
Likely having 3+ years of experience depending on how fast of your learning and developing technical capability
Ability to obtain deep knowledge of the project technologies and work independently with minimum guidance
Ability to self-learn and adapt to new technologies quickly
Passion for data engineering, and data technologies. 
Technical requirements:
Fluent in SQL database and ETL process: Extract, Transform, and Load data.
Experience with Python programming language
Experience  with Azure cloud platform (Azure Synapse Spark, Azure Databricks, Azure Data Factory, Azure Data Explorer)
Experience with DevOps tools (Terraform, Ansible, Chef, GitHub, etc)
Nice to have:
Knowledge of the Business Intelligence (BI) / Data Warehousing (DW) industry
Experience with reporting and BI tools such as SSRS, PowerBI
Knowledge of HPCC tool and ECL

WHAT'S ON OFFER

Working in one of the Best Places to Work in Vietnam
Building large-scale & global software products
Working & growing with Passionate & Talented Team
Diverse careers opportunities with Software Outsourcing, Software Product Development, IT Solutions & Consulting
Attractive Salary and Benefits
Performance appraisals twice a year and Performance bonus
Onsite opportunities: short-term and long-term assignments in U.S, Europe, Asia.
Flexible working time
Various training on hot-trend technologies, best practices and soft skills
Premium healthcare insurance for you and your loved ones
Company trip, big annual year-end party every year, team building, etc.
Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming…
Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,…
Free in-house entertainment facilities (foosball, ping pong, gym…), coffee (latte, cappuccino, espresso) and snack (instant noodles, cookies, candies…)

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Outsource

Technical Skills:

Data Engineering, Python, ETL/ELT, Azure

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

$ 1,000 - $ 3,000

Job ID:

J01037

Status:

Close

Related Job:

Senior Deep Learning Algorithms Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Machine Learning
  • Algorithm

Analyze and optimize deep learning training and inference workloads on advanced hardware and software platforms. Work with researchers and engineers to enhance workload performance. Develop high-quality software for deep learning platforms. Create automated tools for workload analysis and optimization.

Negotiation

View details

Software Engineer

Ho Chi Minh - Viet Nam

Product

Create and develop the API Platform with a focus on reliability, performance, and providing a top-tier developer experience Deploy and enhance AI/ML models in scalable, production environments in collaboration with research and applied ML teams Manage and advance a contemporary, cloud-native infrastructure stack utilizing Kubernetes, Docker, and infrastructure-as-code (IaC) tools Ensure platform dependability by designing and implementing telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms Contribute to developer and operations workflows, encompassing CI/CD pipelines, release management, and on-call rotations Work collaboratively across teams to implement secure APIs with fine-grained access control, usage metering, and billing integration Continuously enhance platform performance, cost-efficiency, and observability to accommodate scaling and serve users globally.

Negotiation

View details

Product Manager (Data & Models)

Ho Chi Minh - Viet Nam

Product

  • Product Management
  • AI

Designing data strategy and model integration for creating efficient data pipelines, evaluation frameworks, and annotation systems to maintain high-performance LLMs. Responsible for ensuring data quality standards and implementing bias mitigation and privacy-preserving techniques. Defining the product's core model roadmaps, taking into account technical feasibility, user needs, and ethical considerations. Collaboration with researchers to incorporate experimental breakthroughs into deployable features. Partnering with Engineering and Research teams to ensure model development aligns with product goals and advocating for transparency in model decision-making to build user trust. Analyzing usage patterns from open-source communities (Discord, Reddit, GitHub) to refine model behavior and address real-world edge cases, contributing to community-driven model evolution. Setting performance benchmarks, cost efficiency, and resource utilization standards for model scalability and reliability.

Negotiation

View details