Data/Software Engineer
About The Position
Opportunity By applying and enforcing standard and best practices, you will design and develop scalable, 24×7 data and reporting services to process billions of events per day. Specific duties will include developing enhancements to our Hadoop/Hive and Redshift based data pipeline and extend to streamed data processing; contributing to data reporting projects including generating internal and external reports or visualizations (CSV, Excel, PDF, interactive web graphics and others) and data distribution / reporting components, real-time bidding or optimization algo using a combination of SQL, Ruby, R, Go, Java, Javascript, D3, Bourne shell scripts, cron jobs, and other relevant technologies. Will also be expected to implement new services and algorithms to improve our product. The ideal candidate has hands-on data processing experience. Candidate must be familiar with current distributed computing data technologies on commodity servers and have experience with 24×7 production needs.
Requirements
- Strong SQL skills on large-scale databases.
- Knowledge of any of the following RDBMS such as MySQL, Postgres, Redshift, Hive or others.
- Experience with Linux or Unix based systems – including Bourne shell, cron and other Unix utilities.
- Strong software development skills, including experience with Java.
- Degree in Computer Science or a related field.
- Hands-on data processing experience.
- Familiarity with current distributed computing data technologies on commodity servers.
- Experience with 24×7 production needs.
Nice To Haves
- Experience with at least one of Ruby/Python, Bourne Shell or other scripting languages.
- Experience with Hadoop/MapReduce and/or EMR, including experience in developing MapReduce Jobs in Java or developing Hive UDF.
- ETL Experience maintaining multiple data systems.
- Experience with Ooozie or other Hadoop workflow solutions.
- Experience developing complex data processing pipelines, including experience developing regressions tests and deployment strategies for such environments.
- Experience with data reporting solutions – either developed in house or with 3rd party solutions.
- Working experience developing and supporting 24×7 production data services and pipelines on Linux systems – including experience being on-call supporting such services.
- Experience with AWS preferred.
Responsibilities
- Design and develop scalable, 24×7 data and reporting services to process billions of events per day.
- Develop enhancements to our Hadoop/Hive and Redshift based data pipeline and extend to streamed data processing.
- Contribute to data reporting projects including generating internal and external reports or visualizations (CSV, Excel, PDF, interactive web graphics and others) and data distribution / reporting components.
- Develop real-time bidding or optimization algo using a combination of SQL, Ruby, R, Go, Java, Javascript, D3, Bourne shell scripts, cron jobs, and other relevant technologies.
- Implement new services and algorithms to improve our product.
Benefits
- Competitive comp based on experience level
- Healthcare HMO & PPO
- Stock options and 401k
- Flexible Spending and Transit Reimbursement Accounts
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
