Job title -Data Engineer Function-Data Engineering & Tools Job family-Data Engineering
Purpose of Job :
The co worker builds the data pipes between data systems and creating base for our data analysts. Commercial data are data which refer to the sales generation model how traffic is generated to profit and all steps in between, e.g. Conversion rate or markdown optimizations.
Purpose of Function :
"The data factory
They create the :
- Single Version of the Truth
- Single View of the Customer
- Managed for data quality"
Assignments :
1. Deliver and maintain ETL data pipelines with multiple data sources including APIs & databases
2. Find creative solutions for a variety of data challenges facing our fast-growing data and business requirements
3. Build processes and standards that build trust with data and provide consistent metrics across the organization
Knowledge :
1. Excellent knowledge and hands-on experience with SQL and delivering data engineering projects preferably using Google Analytics data in BigQuery
2. Extensive experience in delivering production-ready Python code
3. Extensive knowledge with cloud data-warehouse design, architecture and operations such as Bigquery,
4. Good Knowledge of marketing tools like Google Analytics, Google Search Console, Google AdWords
Education :
- Excellent educational background in Economics/ Business, Information technology management or Data analytics; advanced degree preferred.
Minimum experience & required skills :
- 1-2 Years (4-5 Years for Senior)
- Basic Reporting, Analysis & data visualization tool skills (e.g. Tableau, Power BI, Microstrategy or google datastudio)
- Good knowledge with cloud data-warehouse design, architecture and operations such as Bigquery,
- Good knowledge and hands-on experience with SQL and delivering data engineering projects preferably using Google Analytics data in BigQuery
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