Senior/lead Data Engineer

**Senior/Lead Data Engineer (Core Data Platform)** - Company: AnyWork's Client - Salary: Attractive - SHUI: Yes (100%) - YoE: 10+ - English: Fluent - Working Location**:Dong Da District, Hanoi | Nguyen Dinh Chieu Street, Saigon ward, HCMC**: - Working hours: Mon-Fri We are seeking an expert and autonomous contract Senior Data Engineer to accelerate the evolution of our core data platform. Your primary mission will be to solve our most critical infrastructure bottleneck: the co-mingling of production and analytical workloads that creates performance risks and slows our ability to generate insights. You will be a key architect on a new initiative, channeling your deep expertise in data warehousing, event-driven systems, and database operations into the foundational systems that will unlock the entire company. This role is for a hands-on engineer who is a master of their craft. You will be fully empowered to own the implementation and success of this project. Key Activities: - Engineer for Enterprise-Grade Governance: Architect and implement the technical backbone for our compliance initiatives (SOC 2, GDPR). You will build the systems for our future data catalog, manage data access, and solve the high-friction processes that currently hinder legitimate analysis. - Modernize our Data Ingestion Layer: Design and build robust, scalable pipelines for both batch and event-driven data, setting the stage for future real-time analytics and ML feature capabilities. - Establish Data Quality as a Core Practice: Implement the foundational patterns for data quality monitoring. You will build automated freshness and integrity checks for our most critical data assets, establishing a new level of trust and reliability in our data. - Architect and Build the Next-Generation Data Warehouse: Proactively own the end-to-end process of designing and building the migration of our analytical workloads from a shared production cluster to a modern, scalable cloud data warehouse (e.g., Snowflake). **Required skills and experiences** - Bachelor’s in Software Engineering or related fields - 8+ years of professional experience in total - 6+ years of dedicated data engineering experience, with a strong focus on building and operating core data platforms. - Hands-on Python programming - Cloud Services: AWS - Experience in core data platforms, specializing in modern data warehousing (Snowflake/BigQuery) - Experience with Event-Driven Architectures: You have hands-on experience with real-time data processing technologies and patterns (e.g., Kafka, Kinesis, Flink, Spark Streaming). - Deep Knowledge of Database Operations: You have a strong understanding of database performance tuning, monitoring, disaster recovery, and the operational trade-offs of large-scale data systems. - Data Governance & Compliance Experience: You have hands-on experience building technical solutions to meet compliance requirements like SOC 2 or GDPR, including data access controls and cataloging. - Pragmatic Problem-Solving: A demonstrated ability to choose the right solution for the problem at hand, avoiding over-engineering while ensuring robustness in a startup environment. You are proficient in SQL and Python. **Preferred skills and experiences** - dbt (Data Build Tool) Experience: Hands-on experience using dbt for production data transformations is a strong plus. - Infrastructure as Code Experience: Familiarity with tools like Terraform for managing data infrastructure. - Experience in a Startup Environment: Comfortable with ambiguity and a fast-paced setting. - Competitive Compensation - Benefits package including comprehensive medical, dental, vision and others - Company Culture based on our Core Values - Professional Development Training with Individual Development Plans to map out your career growth - Opportunity to work in a global environment with diverse teams built with colleagues from around the world - Opportunity to work with technology industry leaders in the financial services industry - Opportunity to work for big name clients in capital markets, banking and other industries **Report to** Supervisor **Interview process** Technical interview VN team -> 3 interview with clients (technical) **Contact**: Application Question(s): - When can you start with us? (days) - Year of birth? - How about your expected gross salary? (USD/month) - How about your English Skills? (B1, B2, C1, C2 level)