Vacancy caducado!
job summary:
Job Duties:Job duties is as follow-Build scalable ecommerce applications in Spark/Hadoop using Java/python to perform analysis of user telemetry data and generate reports for Data Quality and User Trends.-Apply Software Engineering knowledge to make development, execution, and improvement of existing methods to build, test and deploy the changes to production such as writing go routines and ansible scripts for faster deployments.-Build and maintain real user metrics mappings/dashboards and manage data stream for processing ,massaging and transform data in user required format.-Building a platform for managing filters and its related processing of data in data lakes automatically based on the policies decided by countries or states such as GDPR compliance.-Work with large data sets in distributed computing environment which involve technology like MapReduce, Hadoop, Hive, Apache Spark, etc.-Worked on google could platform and related technology like data proc, pubsub and serverless function.-Design and development of new projects with continuous integration and deployment pipelines which have high scale impact and easily manageable by small group of people-Write complex Hive/DB queries to fetch historical data from terabytes of archives efficiently and quickly.-Help user facing consulting team with tools needed to speed up the process of on-boarding new customers by generating mappings automatically to QA environments for quick demo based on user needs.-Troubleshoots business and production issues including maintaining ETL pipelines which extract, transform and deliver user data to customers for their specific use cases. location: Pine Bluff, Arkansasjob type: Contractsalary: $48.36 - 58.36 per hourwork hours: 8am to 5pmeducation: Bachelors responsibilities:-Building a platform for managing filters and its related processing of data in data lakes automatically based on the policies decided by countries or states such as GDPR compliance.-Work with large data sets in distributed computing environment which involve technology like MapReduce, Hadoop, Hive, Apache Spark, etc.-Worked on google could platform and related technology like data proc, pubsub and serverless function.-Design and development of new projects with continuous integration and deployment pipelines which have high scale impact and easily manageable by small group of people-Write complex Hive/DB queries to fetch historical data from terabytes of archives efficiently and quickly.-Help user facing consulting team with tools needed to speed up the process of on-boarding new customers by generating mappings automatically to QA environments for quick demo based on user needs. qualifications:- Experience level: Experienced
- Minimum 3 years of experience
- Education: Bachelors
- Spark/Hadoop
- Python
- JAVA DEVELOPER