Careers

Acclivity is looking for salesforce Application Developers with a passion for growth and innovation. Join our team and utilize leading-edge technology to configure, develop, deliver and support applications for our clients in areas such as Mobile, Big Data, Cloud Computing or Smarter Commerce.

The successful candidate must have hands on experience demonstrating a firm understanding of Salesforce operation and configuration, as well as Salesforce data structure and administration. The Salesforce Application Developer will develop relationships across a diverse stake holder group at our clients including client business and technical organizations in a fast pace, complex environment.

Basic Qualifications

• Deep knowledge of Cloud Computing (SaaS, PaaS) and Salesforce.com
• Strong background in Cloud Computing solutions – cloud computing strategy, systems design, implementation and management
• Minimum of 5 years of experience leading the successful delivery of Salesforce projects
• Minimum of 5 years of Salesforce.com (SFDC) systems implementation experience
• Experience with the Salesforce.com APEX data loader;Salesforce.com web services API
• Demonstrated experience in a leadership role managing test teams and projects of varying sizes including, reporting project statistics and issues requiring management attention
• Experience with Apex, Visual Force, Apex Triggers, JavaScript

The Job Role will involve playing a key role as a Bigdata Architect. Driving initiatives related to Bigdata, involving various technology POCs and coming up with meaningful solutions. Strong background on java, development and experience on Hortonworks stack. Excellent communication skills and customer facing.

Basic Qualifications

• 5+ years of hands-on programming expertise in , Java, SQL, Python
• 3+ years of experience with large datasets in Hadoop (Cloudera) and Hortonworks Stack
• Well versed in Cloudera (CDH 5.x) to manage security, metadata, lineage, job management, Optimizer, Record Service etc
• Expertise in kafka (distributed logs) and Spark streaming architecture and development
• Troubleshoot, tune, and accelerate data pipelines, data queries, and real time streaming events