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 helping them achieve this goal by building and executing a comprehensive data strategy.
Requirements
- Python
- AWS
- 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).
- Data streaming systems: Storm, Spark-Streaming, etc.
Responsibilities
- Lead and architect migration of data environments with performance and reliability.
- Assess and understand the ETL jobs, workflows, BI tools, and reports
- Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
- Support an Agile software development lifecycle
- Contribute to the growth of our Data Exploitation Practice
- Design and develop solutions to high-impact, complex data problems
- Work with the best data practitioners around
Other
- Ability to hold a position of public trust with the US government.
- Bachelors Degree and at least 5+ years of experience or equivalent education and/or experience.
- 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
