Bachelor's or master's degree in data science, data analysis, information management, computer science, information technology, or a related field, or equivalent professional experience
Required Previous Experiences
6–8 years of data engineering experience
At least 3 years of SQL experience
At least 3 years of modern data warehouse architecture experience
At least 2 years of experience with Redshift, BigQuery, Snowflake, or similar data warehouses
Familiarity with Kafka, Spark, Hadoop, and other big data tools
Strong software engineering and scripting skills
Experience processing large-scale datasets from multiple sources
Preferred Qualifications
Experience with time-series databases
Advanced SQL, including stored procedures, triggers, analytic functions, and window functions
Snowflake stream and task orchestration
Background in big data, non-relational databases, machine learning, and data mining
Familiarity with SNS, SQS, SES, S3, Lambda, and Glue
Familiarity with Redshift, Cassandra, DynamoDB, Airflow, Spark, or ElasticSearch
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