Data Engineer

Pattern Holdings Company Limited; Hong Kong; On-site; HKD 600,000 - 840,000; Full time

Benefits offered by this job

Time off

Insurance

Competitive pay

Job summary

Pattern Holdings Company Limited is seeking a Data Engineer to develop and maintain real-time, scalable data pipelines. You will work on data lakes and warehouses, ensuring data quality and accessibility for analytics across the business.

Ideal candidates have strong SQL, data warehousing, and big data tooling experience, and can collaborate effectively with technical and non-technical stakeholders. Join Pattern to support data-driven decision making globally.

Qualifications

• Bachelor's or Master's degree in data-related field or equivalent experience.

Responsibilities

• Develop, deploy, and support real-time, automated, scalable data streams into data lake/warehouse.
• Implement data auditing to ensure data quality and troubleshoot large-scale pipelines.
• Collaborate with tech teams to specify data requirements and provide access to data.
• Tune queries and performance using SQL and profiling tools.
• Understand business and analytics needs for data.
• Own data quality for assigned areas and drive resolution of data issues.

Skills

SQL

Data warehousing

Big data tools

Python scripting

ETL/ orchestration

Airflow / AWS Glue

Data quality

Stakeholder communication

Education

Bachelor's or Master's Degree in Data Science / Data Analytics / IT / CS

Tools

Apache Airflow

AWS Glue

Spark

Kafka

Hadoop

Redshift

BigQuery

Snowflake

Job description

As a Data Engineer at Pattern, you will be working on business problems that have a huge impact on how the company maintains its competitive edge. Pattern values data and the engineering required to take full advantage of it.

Key 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

About you

• Bachelor's or Master's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience
• Working with SQL
• Experience in implementing modern data architecture-based data warehouses
• Experience working with data warehouses such as Redshift, BigQuery, or Snowflake and understand data architecture design
• Familiarity with big data tools such as Kafka, Spark, Hadoop
• Strong scripting experience in Python or similar languages for data pipeline development and automation
• Experience with data orchestration and ETL tools such as Apache Airflow, AWS Glue, or similar platforms
• Strong communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
• Expertise with data systems working with massive data sets from various data sources

About us

Pattern is the premier partner for global ecommerce acceleration and is headquartered in Utah's Silicon Slopes tech hub with offices in Asia, Australia, Europe, the Middle East, and North America. Valued at $2 billion, Pattern has been named one of the fastest-growing tech companies in North America by Deloitte and one of best-led companies in America by Inc. More than 100 global brands like Nestle, Sylvania, Kong, Panasonic, Sorel, Skullcandy, and Popsockets rely on Pattern's global ecommerce acceleration platform to scale their business around the world.

• Great benefits including time off, insurance, competitive pay