Description

Build and maintain scalable data solutions and pipelines as the subject matter expert for data architecture and cloud technologies.

This role is on-site.

Responsibilities

• Build and maintain high-performance data pipelines for real-time and batch data ingestion using modern ETL/ELT practices.
• Design and implement large-scale data structures to support analytics and data science requirements.
• Develop and optimize data warehouse solutions using cloud-native technologies.
• Automate processes and streamline workflows to enable self-service data tools and improved reporting.
• Collaborate with agile teams to integrate data systems with identity management and audience targeting technologies.

Required Skills

• 12+ years of experience in data engineering or related roles.
• Expertise in designing and implementing Data Warehouse (DWH) solutions.
• Hands-on experience with cloud data warehouses such as Snowflake, Google BigQuery, or AWS Redshift.
• Proficiency in Python or R for data coding and transformation.
• Advanced SQL skills for writing complex queries and developing ETL/ELT pipelines.
• Experience with cloud platforms including GCP or AWS.
• Knowledge of containerization and orchestration using Kubernetes.
• Experience building and optimizing APIs.
• Ability to work within agile frameworks using Jira and Confluence.

Preferred Skills

• Experience with Tableau, Looker, or Power BI for dashboarding.
• Understanding of digital advertising technology including Ad Serving, DSP, SSP, and analytics platforms.
• Knowledge of identity management, data privacy, and cross-device graphs.

Key Skills

Education

Any Graduate