Data Engineering & Storage:
- Strong SQL (complex joins, stored procedures, certificate-auth-based queries)
- NoSQL experience (Firestore, DynamoDB, or MongoDB)
- Data modeling and warehousing (BigQuery preferred; Redshift, Snowflake acceptable)
- ETL/ELT pipelines using Airflow, dbt, Kafka, or Spark
- Scripting with PySpark or Python, or Scala
- Cloud: Strong hands-on experience with GCP (Google Cloud Platform)
Visualization & Analytics:
- Dashboarding tools: Google Looker Studio, LookerML, Power BI, or Tableau
Good-to-Have:
- Exposure to Master Data Management (MDM) systems
- Interest in or experience with Web3 data, blockchain analytics