INNOVIM · 2 days ago
Senior Software Engineer (Data Analytics)
Wonder how qualified you are to the job?
Information Technology
Insider Connection @INNOVIM
Responsibilities
Design, development, evolution, and sustainment of data analytics infrastructures including ElasticSearch (ELK), Google Analytics, and AWS Athena and S3
Implementing and refining data pipelines for the extract, transform, and load (ETL) of new data stream
Preparing data visualizations and reporting for both internal application development teams and program leadership via Kibana, AWS QuickSight, Google Analytics 4
Support data management activities including retention, curation, catalog management, and schema development or extensions with focus on data management automation wherever practical.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
ElasticSearch data cluster sustainment and visualization via Kibana
Tracking and reporting application usage metrics via Google Analytics in an enterprise setting
Experience architecting cloud-native solutions using best practices, such as the AWS Well Architected Framework.
Experience developing cloud-hosted application using cloud-native / serverless services such as Lambda, Elastic Container Service, Fargate, SNS, SQS, Step Functions, CloudWatch, Kinesis
Experience with infrastructure automation via Terraform, CloudFormation, Puppet
Familiarity with DevOps development practices including source code management with Git, CI/CD and automated testing.
Demonstrated experience communicating with technical information, especially as relates to numeric / statistical information through data visualizations.
3+ years of experience development applications leveraging Python and/or NodeJS
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline
6+ years of experience in an engineering role related to data analytics.
CloudFormation
GIT
Python
Kibana
ElasticSearch
Amazon Web Services
S3
Preferred
Experience with modern data management approaches including Data Lakes, Data Catalogs
Experience with key cloud data integration services: Ex AWS Glue | Athena
Familiarity with machine learning practices and techniques
Benefits
Medical/Dental/Vision insurance programs
Life insurance
401k matching contribution
Educational/Training support