Data Engineer - Media
Media | Remote
Who we are looking for?
- First of all, you should be the person who understands the value of the data
- An analyst with middle data engineering skills (Python, SQL, ETLs, Spark, etc.) and patience to organize data and make everything right and clear
- Middle-level Data Engineer with interest in analytics and who considers the data not only as binary data but also as a valuable resource for the company
Job description
- Build and maintain the analytics layer of the team’s data environment to make data standardized and easily accessible. Including data registry in Data Catalogue, ETLs and data pipelines, etc.
- Be a point of contact and own the team’s data layer - from event tracking to ready-made datasets
- Work closely with Data Platform team on achieving global data strategy goals and values
- Collaborate with our Product Analysts to deliver analytic tools including datasets, Looker data models and dashboards, reports, and other data products
- Document and build processes to share knowledge: tables and columns metadata, data flows, and other critical documentation
- Identify data discrepancies and maintain transparent and up-to-date code to ensure business requirements and data products logic match
- Contribute to global data quality improvement activities
- Work with our Product Analysts to create standards for how our data models are stored and queried
Requirements
- 3+ years of prior experience in data engineer/data analyst role
- Excellent SQL and programming skills (Python)
- A deep understanding of data warehousing and ETL/ELT concepts
- Experience in building data marts
- Experience with Airflow or the same tool
- Understanding of product metrics would be an advantage
- Experience with Spark preferable