Description

Design and build scalable data architectures, pipelines, and analytics solutions.

This role is on-site.

Responsibilities

• Design and implement scalable data warehouses and modern data architectures.
• Build and maintain high-performance data pipelines and ETL/ELT processes.
• Develop and optimize APIs, containerization, and orchestration using Kubernetes.
• Create reports and dashboards to visualize data insights.
• Integrate data across identity management, audience targeting, and cross-device graph systems.

Required Skills

• 13+ years of experience in data engineering or related fields.
• Expertise in Python and writing complex SQL queries.
• Hands-on experience with Snowflake, Google BigQuery, or AWS Redshift.
• Proficiency in cloud technologies including GCP or AWS.
• Experience with containerization and Kubernetes orchestration.
• Knowledge of digital advertising technology, including DSP, DMP, SSP, and ad serving.
• Familiarity with Agile workflows using Jira and Confluence.
• Experience with Tableau, Looker, or Power BI.
• Understanding of data privacy and identity management.

Preferred Skills

• Deep understanding of cross-device graphs and audience targeting technologies.

Key Skills

Education

Any Graduate