Software Engineer, Associate

Infor; United Arab Emirates; Remote; AED 240,000 - 420,000; Full time

Job summary

Infor is seeking a Software Engineer, Data & Analytics to join our Product Development team. You will own and enhance the data platform that enables our business and customers to understand performance and make data-driven decisions.

You will manage Redshift, build QuickSight dashboards, and create AI-driven workflows that transform data into timely insights. Collaboration with Product, Operations, and stakeholders is essential in translating questions into metrics.

Qualifications

• Strong SQL skills with complex queries and performance tuning.
• Hands-on experience with Amazon Redshift and dashboards.
• Proficiency in Python for data processing and automation.
• Experience with AWS analytics services and data modeling concepts.
• Familiarity with Git for version control and Agile methodologies.

Responsibilities

• Administering and optimizing Redshift clusters, including schema design, distribution and sort keys, workload management, query tuning, and access control.
• Building and maintaining QuickSight dashboards and datasets, including SPICE refreshes, calculated fields, and row-level security.
• Designing and operating AI-driven workflows, including LLM-powered summarization, anomaly detection, automated reporting, and natural-language querying of data.
• Partnering with Product, Operations, and business stakeholders to translate business questions into clearly defined metrics and reporting solutions.
• Monitoring data quality and freshness in Redshift and collaborating with Data Engineering teams to resolve upstream issues.
• Documenting data models, metric definitions, dashboards, and workflows to ensure they are trusted, reusable, and maintainable.
• Working in an Agile environment, including Scrum/Kanban, and contributing to technical decisions around the data and AI technology stack.

Skills

SQL

Python

Big data concepts

Data modeling

AWS services

CI/CD practices

SaaS analytics

Tools

Amazon Redshift

Amazon QuickSight

Power BI

Tableau

Terraform

AWS CDK

CloudFormation

Git

S3

Lambda

IAM

Job description

Software Engineer, Associate

Department: Development

Employment Type: Full Time

Location: Remote

Description

We are looking for a Software Engineer, Data & Analytics to join our Product Development team. In this role, you will own and enhance the data platform that enables our business and customers to understand performance and make data-driven decisions.

You will manage and optimize our Amazon Redshift environment, develop impactful Amazon QuickSight dashboards, and build AI-driven workflows that transform raw data into timely, actionable insights.

A Typical Day in the Life Includes:

• Administering and optimizing Amazon Redshift clusters, including schema design, distribution and sort keys, workload management, query tuning, and access control.
• Building and maintaining QuickSight dashboards and datasets, including SPICE refreshes, calculated fields, and row-level security.
• Designing and operating AI-driven workflows, including LLM-powered summarization, anomaly detection, automated reporting, and natural-language querying of data.
• Partnering with Product, Operations, and business stakeholders to translate business questions into clearly defined metrics and reporting solutions.
• Monitoring data quality and freshness in Redshift and collaborating with Data Engineering teams to resolve upstream issues.
• Documenting data models, metric definitions, dashboards, and workflows to ensure they are trusted, reusable, and maintainable.
• Working in an Agile environment, including Scrum/Kanban, and contributing to technical decisions around the data and AI technology stack.

Basic Qualifications:

• Strong SQL skills, including complex queries, window functions, and performance tuning.
• Hands-on experience administering and optimizing Amazon Redshift.
• Experience developing dashboards and datasets using Amazon QuickSight, or comparable BI tools such as Power BI or Tableau.
• Proficiency in Python for data processing, automation, and scripting.
• Experience with AWS analytics services, particularly S3, Lambda, and IAM.
• Strong understanding of data modeling concepts, including dimensional modeling and star/snowflake schemas.
• Experience with version control using Git.

Preferred Qualifications:

• Experience working with LLMs or Generative AI services, such as Amazon Bedrock.
• Knowledge of prompt design, Retrieval-Augmented Generation (RAG), and methods for evaluating AI output quality.
• Experience with Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation.
• Understanding of CI/CD practices.
• Familiarity with data governance, privacy, and security practices within analytics environments.
• Experience supporting analytics solutions in a SaaS or multi-tenant environment.