• 5-7 years of experience in Data Warehousing andData Modeling, ETL/ELT,SQL,Python,Kafka,Spark,Airflow
• Bachelor's Degree in Library Science,  Information Systems, Finance, Information Technology or equivalent experience
• Any Public Cloud certification focused on data warehousing
• Any certification on specific database technology
• Strong understanding of Normalized/Dimensional model disciplines and similar data warehousing techniques.
• Strong experience working with ETL/ELT concepts of data integration, consolidation, enrichment, and aggregation in petabyte scale data sets.
• Expert in SQL and/or SQL based languages and performance tuning of SQL queries.
• Collaborate with Product and analytics teams on normalizing and aggregating large data sets based on business needs and requirements.
• Data auditing skills to verify data integrity, understand discrepancies and resolve them with the highest sense of urgency.
• Experience with cloud-based data warehouses – e.g. Snowflake, BigQuery, Synapse, RedShift, etc
• Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores (Kafka, Pub/Sub)
• Experience building data pipelines on modern public cloud services like Snowflake, AWS, GCP, or Azure
• Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
• Familiarity with Analytical/Reporting Solutions like Qlik Sense, PowerBI is a plus
• Proficient in Linux/Unix environments