Artificial Intelligence
3S implements right AI solutions that have the ability to combine natural language processing, image analytics and video analytics by delivering real business value…. Read more
Market Research
Our value-added market research services expand to a larger scheme of market or strategic intelligence…. Read more
Data Science
Our team of engineers takes a deep dive into your data set, using top-of-the-line analysis tools and advanced logic to uncover actionable business insights…. Read more
Healthcare
3S technology services for the healthcare industry are designed to save time, effort and cost in the process of excellent patient care…. Read more
Cloud Management
Our cloud application architects and developers will help steer your cloud application development initiatives in the right direction…. Read more
Strategic Consulting
We work strategically to help the federal, state, and local government organizations in the United States…. Read more
Business Intelligence Solutions
Business Intelligence is a process for increasing the competitive advantage of a business by intelligent use of available data in decision-making. To be able to make the right decisions at the right time, 3S delivers tools and applications that allow you to easily turn your volumes of data and convert it into meaningful information. Following are our BI Solutions,
Corporate performance dashboards
Decision support systems
Custom ETL tools
Columnar reporting
Microsoft analysis services
Customer service
Hot Jobs
Join our team
Job Description:
Should have Azure Service Environment Experience and DevOps
Strong understanding of Cloud concepts IaaS PaaS SaaS
Designing high availability performant and secure solutions using Azure Experience with Infrastructure Architecture highly preferred.
Knowledge on migrating applications to the Cloud and Designing Cloud Native applications.
Good knowledge on Kubernetes concepts Secrets Config Maps Services etc
Experience in Kubernetes is highly preferred
Experience in Monitoring is desired but not mandatory.
Monitoring tools: Elastic Search Logstash Kibana ELK Dynatrace Zabbix
Container: Docker
Container Orchestration: Kubernetes
Cloud platforms: Microsoft Azure
Scripting: Shell Python
OS: Linux
Tools: Git JIRA Confluence.
We are in need of strong experienced GCP Data Engineer for Master Brand account, Remote location for next 6 months.
Duration : 6 months, extended to 1 year
Visa : H1B, GC/USC only (No EAD/Opt)
Start date : Immediate
Rounds : 2 rounds ( 1 internal, 1 client interview)
Requirements
- Minimum 8-10 yrs of experience in IT experience
- Experience using Python and SQL for data filtering, transformational and loading
- Experience developing ETL/ELT using tools such as airflow/cloud composer
- Ability to set up and monitor real-time streaming data solutions (Kafka)
- Experience working with relational and MPP databases such as Postgres, HIVE, and Bigquery
- Ability to leverage software development lifecycle capabilities including Git version control, unit testing, and CI/CD pipelines.
- ETLs to make shared data sources (digital thread).write ETL job to get data lake into postgres for more robust applications
- Work on setting up streaming data sources and consumption for manufacturing and other data sources. Help current applications scale through optimization.
- Create data engineering pipelines and templates for data sources in GCP
- Create and automate ETL mappings to consume and aggregate data from multiple different data sources
- Monitor performance, troubleshoot and tune ETL processes as appropriate
- Execution of end to end implementation of underlying data ingestion workflow.
Case Studies
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