Careers

Job Description

1. Should have 10 - 12 years of experience in Oracle EBS Financial modules implementation
2. Good knowledge of AP, FA, EBTAX , GL Modules
3. Must have experience in setting up stat ledgers/environments in Oracle in compliance with UK/Europe needs.
4. Proficient in writing Functional Design Documents along with Experience in mapping business requirements, gap analysis and preparation of Functional/Technical Design documents
5. Good Communication Skills
6. Experience working with business and consulting partners

Job Description

1. Strong Experience in developing Java Web Dynpro applications in SAP NetWeaver Developer Studio NWDS
2. Strong knowledge of Advanced Web Dynpro for JAVA design paradigm
3. Experience in Java SAP integration using JCO and JCA and ODATA services
4. Design, build and configure applications to meet business process and application requirements
5. Strong in Java, SQL, Rest & SOAP services
6. Good to have SAP UI5, Android, PHP knowledge

Job Description

1. Strong experience on SFDC configurations, Apex, VisualForce, Lightning
2. Lightning administration and development experience
3. Deep understanding of the platform's development technologies, especially batchable & scheduled jobs and Lightning Web Components
4. Experience with the platform's low-code, declarative elements such as Process Builder, Flow, and workflow rules
5. Strong knowledge of key areas within the Salesforce database model, the Apex programming language, triggers, and the Salesforce Object Query Language (SOQL)
6. Familiarity with Salesforce administration concepts and related configurations including organizational structure and integrations
7. Strong customer service bias with excellent written and verbal communication skills
8. Strong Salesforce experience (and certifications)
9. Experience integrating Salesforce with external systems and data sources Sales Cloud, Service Cloud & Knowledge experience

Job Description

1. 1-3 years of work experience, in the area of Business Analytics using Descriptive and Predictive techniques.
2. Minimum of 1 year of experience in Analytics in the Retail domain.
3. Background in Engineering/IT, MBA, Statistics, Economics.
4. Should have good experience in Data Mining, Data Analysis and Predictive Modelling using R.
5. Should be well versed with databases like PostGreSQL, MySQL, MS SQL.
6. High-level proficiency with SQL based query languages and relational data concepts.
7. Advanced knowledge of Microsoft Excel is absolutely essential.
8. Excellent analytical skills. The candidate should not only be able to analyze the data, but also drive the implementation of the recommendations.
9. Must have a passion for data, structured or unstructured.
10. Excellent verbal and written communication skills.
11. Strong interpersonal skills, ability to work with teams in a timeline driven high-pressure environment.

Job Description

1. Experience and understanding of Asp.net Core development architecture for Web
2. Should have working experience in React, Bootstrap, HTML, CSS, XML, XSLT, JSON, jQuery, JavaScript, Ajax, JIRA, git
3. Experience with C#, ASP.NET CORE WITH MVC
4. Knowledge of WCF, Web API or Restful Services
5. Good to have SQL Server 2008 and above, Entity Framework, LINQ
6. Visual Studio 2017 and above
7. Clear understanding of Agile Methodology

Job Description

1. Hands-on experience Architecting and Designing solutions on AWS
2. Knowledge of security controls for the Public cloud (encryption of data in motion/rest and key management)
3. Knowledge of Linux and Windows containers
4. Experience with Open Source Cloud and configuration management tools (Terraform Ansible, etc.)
5. Experience with alternate cloud providers (e.g. Azure)
6. Experience in the Manufacturing industry

Job Description

1. Minimum of 2 years of work experience in Data Science.
2. Experience in Data Science in application to lending & finance.
3. Bachelor or master's degree in Engineering, Computer Science, Operational Research, Statistics, Mathematics, Physics or a related field.
4. Mastery of Python, SQL, and Python ML libraries.
5. Solid knowledge of applied statistics and machine learning.
6. Experience of building / deploying models and maintaining them in production.
7. Experience in data science models for credit/risk/fraud.
8. Experience with PyTorch, Tensorflow, sci-kit-learn, pandas, matplotlib, Keras, etc.
9. Experience with natural language processing and social network analysis.
10. Competitive experience on Kaggle, ACM ICPC, IMO/IOI (Big Plus).