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Software Trainee Jobs in Bangalore - Dataweave Software

Software Trainee

Dataweave Software
experience-icon 0 Years
salary-icon Not disclosed
Expired

Posted: 30 Jul 21

Job Description

Roles and Responsibilities:

 

● Inclined towards working in a start-up environment.

● Comfort with frequent, incremental code testing and deployment, Data management skills

● Design and Build robust and scalable data engineering solutions for structured and unstructured data for

delivering business insights, reporting and analytics.

● Expertise in troubleshooting, debugging, data completeness and quality issues and scaling overall system

performance.

● Build robust API’s that powers our delivery points (Dashboards, Visualizations and other integrations).

​​

Skills and Requirements:

 

● Good communication and collaboration skills.

● Ability to code and script with strong grasp of CS fundamentals, excellent problem solving abilities.

● Comfort with frequent, incremental code testing and deployment, Data management skills

● Good understanding of RDBMS

● Experience in building Data pipelines and processing large datasets.

● Knowledge of building crawlers is a plus.

● Working knowledge of open source tools such as mysql, Solr, ElasticSearch, Cassandra would be a plus.

·       

Growth at DataWeave

●        Fast paced growth opportunities at dynamically evolving start-up.

●        You have the opportunity to work in many different areas and explore wide variety of tools to figure out what really excites you.

●        Competitive Salary Packages.

Job Particulars

Education BE/B.Tech
Who can apply Freshers
Hiring Process Face to Face Interview, Telephonic Interview
Employment TypeInternship / Projects
Job Id1273280
Locality Address Basavanagudi
Country India

About Company

DataWeave is a Data Platform which aggregates publicly available data from disparate sources and makes it available in the right format to enable companies take strategic decisions using trans-firewall Analytics. 

It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!


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