- Create and maintain optimal data pipeline architecture
- Assemble 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 and GCP cloud resources 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 across national boundaries through multiple data centers and regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytical 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 data stores.
- Strong organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with at least 5 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with relational SQL and NoSQL databases, including Postgres, MySQL, MongoDB (including sharding patterns and replica sets techniques)
- Experience with database scalabilty and availability
- Experience with GCP resources
- Experience with object-oriented/object function scripting languages (such as Python, Golang, Shell scripting) is a plus
Company
Location
São Paulo - Brazil
Job type
Full-Time
Golang Job Details
The Regional Product Management team at Shopee is the key focal point between the business, engineering and design teams. The team is responsible for implementing strategy, road maps and features, while adhering to business goals. It covers all functions including but not limited to Financial Services, Supply Chain, Search, Recommendation, Advertising, Order, Promotion, User, Anti-Fraud, Seller Service. Join us to own a product that is impacting millions of lives in Southeast Asia and Taiwan. Browse our Product Management team openings to see how you can make an impact with us.
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