Senior Data Engineer

We're looking for a dynamic, innovative, passionate, highly analytical person to join our development team in our office Shenzhen, China. This role will report to the Head of Engineering, APAC. Pattern values data and the engineering required to take full advantage of it. As a Data Engineer at Pattern, you will be working on business problems that have a huge impact on how the company maintains our competitive edge.

Responsibilities

Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse; Develop and implement data auditing strategies and processes to ensure data quality; Identify and resolve problems associated with large scale data processing workflows; Implement technical solutions to maintain data pipeline processes and troubleshoot failures; Collaborate with technology teams and partners to specify data requirements and provide access to data; Tune application and query performance using profiling tools and SQL or other relevant query language; Understand business, operations, and analytics requirements for data; Build data expertise and own data quality for assigned areas of ownership; Work with data infrastructure to triage issues and drive to resolution

Requirements

Experience working with time series databases; Advanced knowledge of SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning; Advanced knowledge of Snowflake, including the ability to write and orchestrate streams and tasks; Background in Big Data, non-relational databases, Machine Learning and Data Mining; Experience with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue; Experience with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch; Expertise in Data Quality and Data Governance

Nice to have

Proficiency in English (Writing & Speaking) is preferred