Tóm tắt công việc
YOUR MISSION
We are looking for a passionate certified Senior Data Engineer. The responsibilities include designs, builds, and maintains scalable data pipelines, architectures, and warehouses to ensure data is accessible, reliable, and usable for analysis and modeling. They transform raw data into actionable insights to support business-driven initiatives. Core responsibilities include ETL processing, optimizing database queries, and managing cloud-based infrastructure.
HOW YOU'LL MAKE AN IMPACT
Prepare data for AI Agents: Design the right data architecture with relevant database selection to boost the accuracy and performance of AI Agent.
Pipeline Development: Build, maintain, and optimize robust ETL/ELT data pipelines to ingest and transform large-scale, diverse data sets.
Infrastructure Management: Design, architect, and manage data warehouses and database solutions, ensuring high availability and performance.
Data Quality & Security: Implement data governance, monitoring, and validation checks to ensure accuracy, compliance, and security across all data systems.
Collaboration: Work with PM, DEV,
data analysts and stakeholders to understand data requirements and deliver actionable, high-quality data sets.
Cloud & Big Data Tools: Implement and manage data solutions within cloud platforms like AWS, Google Cloud (GCP), or [protected info] learning and AI application architectures.
Training and coaching for junior members.
5+ years working experience as a Data Engineer.
Strong knowledge of vectorized database, knowledge graph.
Strong knowledge of and experience in ETL process .
Strong knowledge of and experience in Data Visualization.
High-level experience in methodologies and processes for managing large-scale databases.
Experience in working with large datasets using SQL and common Business Intelligence applications (e.g. Power BI, Google Studio).
Technical expertise regarding data models, database design development, data mining and segmentation techniques.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Must have experience with using AI in your daily work, from learning, research to architecture, coding, testing and documenting..
Strong experience in SQL, Python or other programming language.
Strong knowledge of and experience in RDBMS and NoSQL.
Deep understanding of embedding models and LLM tokenization.
Good communication in English.
High-level written and verbal communication skills.
Big Plus & Nice to have
Experience in leading a Data team.
Strong knowledge and experience in Exploratory Data Analysis.
BS in Mathematics, Economics, Computer Science, Information Management or Statistics.