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