Analytics Engineer
Stem Xpert- Location
- Philadelphia, PA, United States
- Workplace
- —
- Employment
- —
- Salary
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Posted 10y ago
Job Description
Title
Analytics Engineer
Location
Philadelphia, PA
Duration
long
Job Summary
- A highly experienced analytics engineer with experience of working with large-scale, distributed data pipelines, you will be responsible for helping create our next-generation analytics platform for the Comcast X1 product.
- Responsibilities span the full engineering lifecycle from architecture and design, data analysis, software development, QA, release and operations support.
- You will be working as a member of a dedicated DevOps team tasked with building and operating the analytics platform.
Job Responsibilities
- Create and support analytics infrastructure to support high-volume and high-velocity data pipelines.
- Develop and test data integration components to high standards of quality and performance.
- Lead code reviews and act as mentor to less experienced members of the team.
- Assist with planning and executing releases of data pipeline components into production.
- Troubleshoot and resolve critical production failures in the data pipeline.
- Research, identify and recommend technical and operational improvements that may result in improved reliability, efficiency and maintenance of the analytics pipeline.
- Evaluate and advise on technical aspects of open work requests in the product backlog with the project lead.
Qualifications
- Bachelor's Degree in Comp. Science or related field.
- At least 5 years solid development experience working on the Linux/Unix platform.
- 5 to 7 years solid development experience working in Java/Scala
- At least 2 years of that experience should be in the analytics sphere and working with distributed compute frameworks.
- Experience of working in AWS a strong plus.
Knowledge of the following technologies
Java, Scala, Spark, Storm, Kafka, Kinesis, Avro.
Thanks & Regards
Narendra
narendra(dot)s(at)tekwissen(dot)com
734-357-8978
Skills
- Linux
- Unix
- Java
- Scala
- AWS
- Spark
- Storm
- Kafka
- AWS Kinesis
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