Experience:

• 7–10 years as a Data Warehouse Engineer/Architect
• Experience in startup environments

Database & Data Modeling Expertise:

• Mastery in transactional databases, dimensional data modeling, and data marts
• Deep understanding of SQL-based Big Data systems

ETL & Data Pipelines:

• Experience with modern ETL tools
• Skilled in building data pipelines using Python

Google Cloud & BigQuery:

• Hands-on experience designing data warehouses in BigQuery
• Strong GCP knowledge including data computing, storage, and security

High Availability Systems:

• Experience in 24x7x365 high-availability digital marketing/e-commerce systems

Batch & Real-Time Processing:

• Proficient in both real-time streaming and high-volume batch processing

Tools: Apache Kafka, Data Lakes, BigQuery

Big Data Tech Stack:

• Hands-on with Hadoop, Hive, Spark
• Experience with Customer Data Platforms (CDP)

Programming & DevOps:

• Proficient in Python (preferred) or other languages
• Familiar with CI/CD (GitHub Actions), Infrastructure as Code (Terraform)

BI & Orchestration Tools:

• Tools: DOMO, Tableau, Looker
• Orchestration: Airflow

Additional Skills:

• Basics of Data Science & ML (modeling, training, data prep)
• Version control (Git)
• Strong data governance & security understanding
• Analytical, problem-solving mindset
• Fast learner, self-guided, thrives in dynamic environments