Description

You will design, build, and maintain data pipelines to collect and process marketing data.

Responsibilities

• Design and implement scalable data architectures, ETL processes, and data pipelines.
• Manage and optimize data warehousing solutions, data lakes, and CDP integrations.
• Administer databases and implement security measures to ensure data integrity and protection.
• Develop automation scripts for routine tasks and monitor pipelines to minimize downtime.
• Collaborate with data scientists and analysts to provide reliable, high-quality data.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in SQL and Google BigQuery.
• Hands-on experience with Google Cloud, AWS, or Azure.
• Experience with cloud pipelining, data lake, and data warehouse management.
• Strong understanding of DBMS, Data Modeling, and CDP.
• Ability to handle real-time data streams and implement data quality validation.
• Experience optimizing data infrastructure for performance and cost-effectiveness.

Key Skills

Education

Any Graduate