Data Engineer: Real-Time Pipelines & Data Quality

Pattern Holdings Company Limited

Hong Kong

On-site

HKD 600,000 - 840,000

Full time

7 days ago
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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

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.

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