Senior Data Engineer (AWS/Data/GenAI) at TechX Corporation

Hanoi, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AWS, Data Analytics, Data Warehouse, Data Lake, Microservices Architecture, Automation, Optimization, Big Data Processing, Data Platform Design, Self-Service Analytics, SQL, Python, Terraform, ETL, Business Intelligence

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 Description: As a Senior Data Engineer at TechX, you'll be at the forefront of delivering world-class data platforms, data modernization and data analytics solutions, utilizing the most advanced architecture and cloud services for our esteemed customers. Key Responsibilities: Collaborate with TechX Data Architect, Data Engineer, Data Analyst, and Data Scientist to design, implement, and tackle data warehouse, data analytics and Data Lake challenges on a massive scale, by leveraging modern microservices architecture and AWS data services. Focus on automation and optimization for all aspects of data platform maintenance and deployment, with a special emphasis on data pipeline, big data processing, data platform design, and self-service analytics. Dive into unique and non-standard business problems, work closely with both technical and business teams, and apply creative problem-solving skills to deliver actionable insights. Key Requirements: Bachelor's degree in computer science, Info Systems, Business, or related field. Minimum of 3 years in Data Engineering Experience with one or more query languages (SQL), schema definition languages (e.g., DDL), and scripting languages (Python and Terraform) to build innovative data solutions. Proficiency or first experience in technical architectures, data modeling, infrastructure components, ETL/ELT, reporting/analytic tools, and extracting value from vast datasets. Exposure to distributed system concepts, particularly from a data storage and computing perspective (e.g., data lake architectures). Initial hands-on experience with AWS Big Data Services such as S3, Glue, Athena, Lambda, EMR, RDS, and Redshift. Familiarity with at least one business intelligence reporting tool (Tableau, Quicksight, PowerBI). Basic knowledge of DBA tasks and SQL performance tuning. 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

As a Senior Data Engineer, you will collaborate with various teams to design and implement data solutions, focusing on data warehouse and analytics challenges. You will also work on automation and optimization of data platform maintenance and deployment.