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Lead Data Engineer

ITviec Recruitment Consulting · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Not Available, Hồ Chí Minh, Hồ Chí Minh

Overview

  • As a Lead Data Engineer, you will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows…
  • Key Activities
  • Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders.
  • Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments.
  • Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives.
  • Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring.
  • Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency.
  • Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows.
  • Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.
  • Your Skills and Experience
  • Required Skills
  • 12+ years of experience in total, 5+ years as a Data Engineer, hands on Python programming
  • Core Expertise: Proficiency in Python for data processing and scripting (pandas, pyspark), workflow automation (Apache Airflow), and experience with AWS services (Glue, S3, EC2, Lambda).
  • Containerization & Orchestration: Experience working with Kubernetes and Docker for managing containerized environments in the cloud.
  • Data Engineering Tools: Hands-on experience with columnar and big data databases (Athena, Redshift, Vertica, Hive/Hadoop), along with version control systems like Git.
  • Cloud Services: Strong familiarity with AWS services for cloud-based data processing and management.
  • CI/CD Pipeline: Experience with CI/CD tools such as Jenkins, CircleCI, or AWS CodePipeline for continuous integration and deployment.
  • Data Engineering Focus (75%): Expertise in building and managing robust data architectures and pipelines for large-scale data operations.
  • Data Science Support (25%): Ability to support data science workflows, including collaboration on data preparation, feature engineering, and enabling experimentation environments.

Requirements

  • Langchain Experience: Familiarity with Langchain for building data applications involving natural language processing or conversational AI frameworks.
  • Advanced Data Science Tools: Experience with AWS Sagemaker or Databricks for enabling machine learning environments.
  • Big Data & Analytics: Familiarity with both RDBMS (MySQL, PostgreSQL) and NoSQL (DynamoDB, Redis) databases.
  • BI Tools: Experience with enterprise BI tools like Tableau, Looker, or PowerBI.
  • Messaging & Event Streaming: Familiarity with distributed messaging systems like Kafka or RabbitMQ for event streaming.
  • Monitoring & Logging: Experience with monitoring and log management tools such as the ELK stack or Datadog.
  • Data Privacy and Security: Knowledge of best practices for ensuring data privacy and security, particularly in large data infrastructures.
  • Why You'll Love Working Here
  • Our client is a prominent European-based technology consultancy with over 30 years of global expertise in digital transformation. They specialize in engineering next-generation core systems and high-scale data solutions for industry leaders within the Financial Services, Insurance, and Manufacturing sectors. Operating a robust network across more than 20 countries, the firm is at the forefront of…
  • Why You'll Love Working With Us
  • Global Innovation Hub: Be part of a prestigious European technology firm with a 30-year legacy, working on large-scale digital transformation projects for top-tier global financial institutions.
  • Cutting-Edge Tech Stack: Engage with an AI-centric environment where you are encouraged to leverage advanced AI-assisted development tools (like GitHub Copilot and Claude Code) to redefine engineering productivity.
  • Expert Collaboration: Work alongside some of the industry's brightest minds in an international setting that fosters professional growth and cultural exchange.
  • Continuous Upskilling: Access specialized training programs, including professional English courses and advanced certifications in Cloud, Architecture, and emerging technologies like Smart Contracts.
  • Competitive & Transparent Rewards: Enjoy a robust compensation package featuring a guaranteed 13th-month salary, performance-based bonuses, and premium health insurance for your peace of mind.
  • Work-Life Balance: Benefit from a flexible Hybrid working model and extensive annual leave, allowing you to balance professional excellence with personal well-being.
  • High-Impact Projects: Direct your expertise toward modernizing next-generation core systems that power the daily lives of millions in the banking and fintech sectors.

Benefits

BonusTraining

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