Project is a dynamic solution empowering companies to optimize promotional activities for maximum impact. It collects and validates data, analyzes promotion effectiveness, plans calendars, and integrates seamlessly with existing systems. The tool enhances vendor collaboration, negotiates better deals, and employs machine learning to optimize promotional plans, enabling companies to make informed decisions and maximize return on investment.

Stack on the project: Databricks, SQL, and Spark

Project duration: 12 months (with possible extension)

Tasks:

Build and optimize data pipelines using Databricks, SQL, and Apache Spark.
Design and implement scalable data processing systems.
Manage and optimize data pipelines.
Ensure the quality and efficiency of data flows.

Our expectations of the ideal candidate:

5+ years of experience as a Data Engineer.
Deep expertise in big data technologies, particularly Databricks, SQL, and Spark.
Very strong SQL skills.
Experience in data modeling and ETL processes.
Experience with analytics engineering is a plus.
Experience with DBT.

Soft Skills:

Prefer problem solving style over experience
Ability to clarify requirements with the customer
Willingness to pair with other engineers when solving complex issues
Good communication skill

Senior Data Engineer

Job Description

No Referrers Available