Understand and analyze business processes, logical data models and relational database implementations
Write high performing and optimized SQL queries
Execute research projects, and generate practical results and recommendations
Design and implement automated data processing solutions and data quality controls
Bachelor's degree
3+ years of data engineering experience
3+ years of SQL experience
Experience with data modeling, warehousing and building ETL pipelines
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
5+ years of data engineering experience
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
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