Duration & Type: 12 months Contract with a media & communications industry client
Location: Philadelphia, PA
No. of Positions: Multiple
Responsibilities:
- Develop solutions to big data problems utilizing common tools found in the ecosystem.
- Develop solutions to real-time and offline event collecting from various systems.
- Develop, maintain, and perform analysis within a real-time architecture supporting large amounts of data from various sources.
- Analyze massive amounts of data and help drive prototype ideas for new tools and products.
- Design, build and support APIs and services that are exposed to other internal teams
- Employ rigorous continuous delivery practices managed under an agile software development approach
- Ensure a quality transition to production and solid production operation of the software
Required:
- 5+ years programming experience
- Bachelors or Masters in Computer Science, Statistics or related discipline
- Experience in one or more languages: Python, Scala/Java, Spark, Batch, Streaming, ML
- Experience with Python unit testing and code coverage frameworks
- Experienced in NoSQL / SQL, Microservice, RESTful API development
- Strong Experience with AWS Core such as Kinesis, Lambda, API Gateway, CloudFormation, CloudWatch
- Experienced with one of the Analytics tools – Presto / Athena, QuickSight, Tableau
- Strong Experience with Container technologies and Real-time Streaming (such as Kafka, Kinesis)
Preferred:
- Test-driven development/test automation, continuous integration, and deployment automation experience
- Experience with Performance tuning at scale
- Experience working on big data platforms in the cloud or on traditional Hadoop platforms
- Experience working in agile/iterative development and delivery environments
- Enjoy working with data – data analysis, data quality, reporting, and visualization
- Great design and problem solving skills, with a strong bias for architecting at scale
- Excellent communication skills
- Experience in software development of large-scale distributed systems
For consideration, please send resume to [email protected]
