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SpringML
SpringML cover picture
Founded :
2015
Type :
Services
Size :
100-1000
Stage :
Profitable

About

SpringML specializes in advanced Data Analytics and Machine Learning. Our mission is to help our customers accelerate the time to derive insight and make an impact using data. We provide fit to purpose applications and implementation services for AI adoption. Our apps provide a lightweight foundation upon which solutions can be built rapidly. With expertise in industry leading big data and analytics platforms as well as domain knowledge in various industries, our team is capable of designing creative solutions that solve your most complex business problems. Our growth is driven by our team and our values - we put customers first, we practice empathy inside and outside our company, and we are aggressively inquisitive. We are a Salesforce Einstein specialized partner and Premier Google Cloud Platform partner with specializations in Machine Learning and Big Data Analytics.
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Kayal Vizhi
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Jobs at SpringML

SpringML
at SpringML
1 video
2 recruiters
Kayal Vizhi
Posted by Kayal Vizhi
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Hyderabad
11 - 16 yrs
₹25L - ₹35L / yr (ESOP available)
Salesforce
Salesforce Visualforce
Salesforce Apex
Salesforce Lightning
Visualforce
+3 more

Greetings from SpringML!!!

SpringML’s mission is to help customers accelerate time to derive insight and make an impact using data. We offer applications and services that solve key business problems for data intensive industries. We have successfully helped over 100 customers with their AI journey, including many of the Fortune 1000. We hold a premier partnership with Google Cloud and a silver partnership with Salesforce.

We are looking for a Salesforce Manager to join our team

Responsibilities:
Analyze business requirements, translate those requirements into customized solutions using the Salesforce platform
Implement Salesforce solutions that adhere to platform best practices and perform peer code reviews. Typical Salesforce implementations include custom platform development (Apex, Lightning Components, Apps, Mobile, and Custom front ends, etc.), integrations with back office systems (often through the use of middleware tools) and complex data migrations
Design steps and modules, define timelines, identify and resolve issues
Testing the stability and functionality of the application
Troubleshooting and fixing bugs
Develop custom components, triggers and pages
Maintaining the security and integrity of the application software

Requirements:
Previous work experience with application and software development
Experience in developing customer-facing interfaces
Advanced knowledge of Salesforce CRM platforms
Good knowledge of Lightning Web Components(LWC)
Proficient in MYSQL, Apex, JavaScript, Native, and VisualForce
Good communication skills
Ability to solve high-level software and application issues
Project Management skills

Preferred Credentials:
Salesforce Platform App Builder Certification
Salesforce Platform Developer I Certification
Salesforce Platform Developer II Certification
Salesforce Administrator  Certification
 
 
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SpringML
at SpringML
1 video
2 recruiters
Kayal Vizhi
Posted by Kayal Vizhi
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Hyderabad
4 - 11 yrs
₹8L - ₹20L / yr (ESOP available)
Big Data
Hadoop
Apache Spark
Spark
Data Structures
+3 more

SpringML is looking to hire a top-notch Senior  Data Engineer who is passionate about working with data and using the latest distributed framework to process large dataset. As an Associate Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.

RESPONSIBILITIES:

 

  • Ability to work as a member of a team assigned to design and implement data integration solutions.
  • Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open-source solutions.
  • Learn quickly – ability to understand and rapidly comprehend new areas – functional and technical – and apply detailed and critical thinking to customer solutions.
  • Propose design solutions and recommend best practices for large scale data analysis

 

SKILLS:

 

  • B.tech  degree in computer science, mathematics or other relevant fields.
  • 4+years of experience in ETL, Data Warehouse, Visualization and building data pipelines.
  • Strong Programming skills – experience and expertise in one of the following: Java, Python, Scala, C.
  • Proficient in big data/distributed computing frameworks such as Apache,Spark, Kafka,
  • Experience with Agile implementation methodologies
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