Steampunk's clients are looking to become a facts-based, data-driven, customer-focused organization by leveraging visual analytics platforms to analyze, visualize, and share information, and Steampunk is building and executing a data strategy for its clients to coordinate data collection and generation, align the organization and its data assets in support of the mission, and ultimately realize mission goals with the strongest effectiveness possible.
Requirements
- Python
- SQL
- ETL Tools: Informatica, Pentaho, Talend
- 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, EMR, RDS, Redshift (or Azure equivalents)
Responsibilities
- Assess and understand ETL jobs and workflows
- Create reusable data pipelines from source to target systems
- Test, validate, and deploy ETL pipelines
- Support reporting, business intelligence, and data science end users through ETL and ELT operations
- Work with data architects to create data models and design schemas for RDBMS, warehouse, and data lake systems
- Work within an Agile software development lifecycle
- Contribute to the growth of our Data Exploitation Practice
Other
- Ability to hold a position of public trust with the US government
- 2-4 years industry experience coding commercial software and a passion for solving complex problems
- Experience working in an Agile environment
- Excellent communication and customer service skills
- Must be on camera during interviews and assessments
