Software Engineer - Granada, España - Certinia

Descripción

THE ROLE

Do you want to be a part of the #1 ERP company for the Service Economy? Do you want to help drive the vision and execution for FinancialForce's customer intelligence strategy? Do you live and breathe data? Do you love challenges and thrive in a high-growth environment? If so, read on as we are looking for an exceptional engineer to join us to craft, drive and execute our customer intelligence strategy.You will be part of FinancialForce's analytics team. You will be a self-motivated and engaging engineer who understands the importance of customer-centric solutions. You work well with ambiguous projects, and are able to drive innovation through rapid collaboration with internal and external customers.We deliver customer-centric predictive insights to our core business functions. We do this using a hybrid analytics stack that spans Salesforce, AWS and Einstein. Our architecture is built around event-driven microservices that operate containerized and Python models. We leverage Amazon Redshift and S3 as our primary data storage.As an engineer on this team, your contributions will extend beyond code. You are capable of going from the idea phase through execution to delivering business impact. You collaborate with key stakeholders, such as sales and finance and engage with external customers and partners. You understand the domain of sales & marketing, data science and predictive analytics.WHAT YOU WILL DO IN THIS ROLE

Deliver impactful business insights.

Contribute to analytics solutions built on Salesforce, AWS and Einstein platforms.

Work and collaborate across the Company to deliver the highest standards of customer intelligence across all departments.

Collaborate with feature crews in remote locations.

Escalate issues and provide resolutions

WHAT YOU NEED TO BE SUCCESSFUL IN THIS ROLE

Experience of working in an agile, data-driven environment.

Experience with analytics, predictive analytics, data science.

Bachelor's degree in Computer Science required.

Master's degree in Computer Science advantageous.

Strong analytical skills is a must.

Experience with data processing, transformation and visualization is a must.

Strong coding skills in Python is required.

Understanding of unit testing is a plus.

Experience with AWS services like Redshift, S3, ECS, ECR, EMR.

Experience with continuous delivery using tools such as Jenkins

Experience with Database, Data Warehouse or Data Lake technologies is a plus.

Experience with predictive analytics, AI and Machine Learning is a plus.

Experience with Einstein product family is a plus.

#LI-RW1