Data Engineer (Big Data)

Data Engineer What you'll be doing

[Data Modeling & Design] You will be working with Business, Product and

Engineering teams to design, document and implement data tracking and

Data Pipeline & ETLs] You will be responsible for building data pipelines using

SQL and/or Python, and creating tables and views for business reporting and

analysis needs. new data pipeline jobs to reflect new business requirements and optimize ETL

pipeline performance.

[Ad Hoc Analyses] You will be responsible for providing analytical insights to

Data Integrity & Data Bug Investigations] You will be responsible for monitoring,

investigating and driving intra-team communications on data issues.

[A/B Testing Design & Executions] You will be responsible for designing and

performing A/B testings to track outcomes of recommendation engine video

content suggestions, be able to make sense of the testing data and constantly

Highly proficient in SQL

Highly experienced in data transformation and modeling tools such as DBT

Proficient in Python or any other programming language

Working experience with one of the popular orchestration tools such as Airflow

1 to 3+ years professional work experience in data or information technology space

Attention to detail and bias to action: pursue data quality, troubleshoot data validation,

Experience partnering with data engineering to develop high data integrity, automated

reporting and insightful ad-hoc analyses that illuminate traffic volume, consumer

A proven problem solver who can quickly assess quantitative data sets and distill key

Familiar with data analytics platforms such as Looker or Tableau

Experience with big data technologies such as SparkSql, Athena, or Druid would be a

Outstanding communications skills with both technical and non-technical colleagues.

BS or MS in a quantitative field (statistics, mathematics, economics, finance, operations