Steampunk is looking for a Data Engineer to help their clients develop enterprise-grade data platforms, services, and pipelines to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques.
Requirements
- 2-4 years of experience working with MS SQL Server and SSIS to build ETL pipelines
- 2-4 years industry experience coding commercial software and a passion for solving complex problems.
- 2-4 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, EMR, RDS, Redshift (or Azure equivalents)
- Object-oriented/object function scripting languages: Python, Java, C++, Scala, 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
- Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
- Key must have skill sets – Microsoft data stack, Python
- Support an Agile software development lifecycle
- You will contribute to the growth of our Data Exploitation Practice!
Other
- Ability to hold a position of public trust with the US government.
- seasoned Data Engineer to work with our team and our clients
- technologist with excellent communication and customer service skills and a passion for data and problem solving.
- expected to be on camera during interviews and assessments.
- We reserve the right to take your picture to verify your identity and prevent fraud.
