Senior Data Engineer, Data Platform, Zalo
We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and data management tools for cross-functional teams. The ideal candidate is an experienced data pipeline builder and software developer who enjoys optimizing data systems and building them from the ground up. The Data Engineer will build software tools to support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture and data management tools to support our next generation of products and data initiatives.
🤖 What you will do
- Create and maintain optimal data pipeline architecture, data management tools;
- Assemble large, complex data sets that meet functional / non-functional business requirements;
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc;
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Hadoop, Spark and other ‘big data’ technologies;
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics;
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs;
- Keep our data separated and secure as well as ensure data quality and data privacy;
- Create, maintain, and optimize data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
👾 What you will need
- Advanced working Hadoop, Spark knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets;
- Experience of Apache Iceberg, Apache Doris, Apache Airflow, Open Lineage, Marquez is a plus;
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement;
- Strong analytic skills related to working with unstructured datasets;
- Build processes supporting data transformation, data structures, metadata, dependency and workload management;
- A successful history of manipulating, processing and extracting value from large disconnected datasets;
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores;
- Strong project management and organizational skills;
- Experience supporting and working with cross-functional teams in a dynamic environment.
