Description

You will build and maintain data pipelines moving information from source systems to segmentation platforms, advertising tools, data warehouses, and data lakes.

Responsibilities

• Develop data pipelines to move large datasets between source systems and various storage or processing environments.
• Prepare data for synthesis and analysis by CDPs and other marketing technology systems.
• Design and implement data architecture and ETL processes.
• Automate data workflows and integration tasks.

Required Skills

• 3-5 years of experience in data engineering.
• Proficiency in Python and J2EE.
• Experience with Data Warehousing and ETL processes.
• Knowledge of relational and document databases.
• Hands-on experience with Linux and Shell Scripting.
• Working knowledge of JSON and internet protocols.
• Understanding of Salesforce and Adobe Marketing stacks.
• Solid grasp of software engineering principles, statistics, and big data technologies.
• Experience with third-party databases, libraries, and interfaces.

Preferred Skills

• Experience with customer data profiling and ad-tech environments.

Key Skills

Education

Any Graduate