Senior Data Engineer, Public Web

5 days ago

Can Tho, Can Tho, Vietnam Square Full time
Job Description

As a Data Engineer on the Marketing Data Engineering team at Square, you will play a critical role in building and maintaining foundational data infrastructure essential to driving revenue growth and accelerating seller acquisition. You will work closely with web analytics teams to design, build, and maintain best-in-class data pipelines and processes that stitch together complex sets of data stores and drive large investment decisions.

Key Responsibilities:
  • Be the expert on end-to-end data flow for Marketing public web event data
  • Work closely with web analytics and SEO teams to translate stakeholder needs into ETL requirements
  • Design, build, and maintain critical data pipelines to ensure highly accurate and reliable business reporting
  • Analyze new data sources and work with stakeholders to understand the impact of integrating new data into existing pipelines and models
  • Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business-critical pipelines to ensure SLAs are met with internal stakeholders
  • Assist the analytics team in interpreting data trends and identifying anomalies through querying and data analysis. Act as a liaison between business needs and ETL processes by resolving data discrepancies and implementing scalable solutions. Make data model and ETL code improvements to improve pipeline efficiency and data quality
  • Build and own data import/export pipelines and incorporate into existing workflows to enable reporting and optimization efforts
Requirements:
  • At least 5 years of experience in data engineering or a similar discipline, preferably supporting web analytics and marketing organizations
  • Strong business intuition and ability to understand complex business systems, data architecture, and software design patterns
  • Expertise in SQL, especially within cloud-based data warehouses like Snowflake, Google BigQuery, and Amazon Redshift
  • Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects, including design, development, testing, deployment, and documentation
  • Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as schema design and dimensional data modeling
  • Experience with Linux/OSX command line, version control software (git)
  • Working experience with Python
  • Excellent communication skills, particularly when explaining technical matters to less technical coworkers
  • Experience working with REST APIs is a plus
  • Experience with data visualization technologies such as Amplitude and Looker is a plus
  • BS degree in Engineering, Computer Science, Math, or a related technical field

We are an equal opportunity employer and welcome applications from diverse candidates. We are committed to creating an inclusive workplace where everyone has the opportunity to succeed.

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