Years of Experience:At least 2 years development experience working in Java, Spark, & Scala
Education Required:Bachelors Degree
Strong experience using ETL tools or other data transformation tools
At least 2 years' experience in the analytics sphere and working with distributed compute frameworks.
Experience of working in AWS environment
Adaptable, proactive and willing to take ownership
Good communication skills, ability to analyze and clearly articulate complex issues and technologies
Knowledge of the following technologies a plus: Storm, Kafka, Kinesis, Avro.
Understand various data sets
Create and support an analytics infrastructure to support high-volume and high-velocity data pipelines.
Analyze massive amounts of data both real-time and batch processing
Prototype ideas for new tools, products and services
Ensure a quality transition to production and solid production operation of analytics and ETL jobs
Help automate and streamline our operations and processes
Troubleshoot and resolve issues in our environments as they arrive
Develop and test data integration components to high standards of quality and performance.
Lead code reviews
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.
We are looking for an analytics engineer with experience working with large-scale and distributed data pipelines to join our team. The analytics engineer will be responsible for helping create our next-generation analytics platform and the 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. The Analytics Engineer will work closely with (and support) a team of data analysts/scientists.
remote until restrictions are lifted at which point it will be onsite in Philly 5 days per week* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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