Ability to hold a position of public trust with the US government.
Bachelor’s Degree and 6 years of total experience or equivalent experience and education.
6 years direct experience in Data Engineering with experience in tools such as:
- Big data tools: Hadoop, Spark, Kafka, etc.
- Relational SQL and NoSQL databases, including Postgres and Cassandra.
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- AWS cloud services: EC2, S3, RDS, Glue, Step Functions, Lamda, EMR, DynamoDB, DocumentDB, Redshift, Aurora, Athena
- Data Platforms: Databricks, Snowflake
- Data streaming systems: Kafka, Storm, Spark-Streaming, etc.
- Languages: Python, R, Scala, Go
Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.
Advanced working SQL knowledge and experience working with relational databases
Advanced working knowledge and of NoSQL databases
Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience manipulating, processing, and extracting value from large, disconnected datasets.
Experience manipulating structured and unstructured data for analysis.
Experience with data modeling tools and processes.
Experience aggregating and transforming data from multiple datasets to create data products
Experience working in an Agile environment

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Public Trust

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