Description :

We are seeking a Senior Software Engineer to design, develop, and deliver high-quality software solutions across our cloud product portfolio.

As a critical member of our agile engineering team, you will drive technical excellence, mentor junior engineers, and contribute to the evolution of Infor's next-generation applications.

A Typical Day In The Life Includes :

- Design, develop, and maintain enterprise-scale data warehouse solutions.

- Build and optimize ETL/ELT pipelines to ingest, transform, and load data from multiple source systems.

- Develop and manage dimensional and relational data models to support reporting and analytics.

- Ensure data quality, integrity, consistency, and governance across data platforms.

- Optimize database performance, query execution, and storage utilization.

- Integrate data from ERP, CRM, cloud, and third-party systems into the data warehouse.

- Implement data security, access controls, and compliance requirements.

- Collaborate with business analysts, data architects, and BI teams to deliver data solutions.

- Support reporting, dashboarding, and advanced analytics initiatives.

- Monitor, troubleshoot, and resolve data pipeline and warehouse-related issues.

- Automate data processing workflows and deployment processes using CI/CD practices.

- Develop and maintain technical documentation, data dictionaries, and metadata repositories.

Basic Qualifications :

- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

- 3 - 5 years of experience with Data Warehouse concepts, architecture, and data modeling techniques.

- Proficiency in SQL and database platforms such as SQL Server, Oracle, PostgreSQL, Snowflake, Redshift, or Synapse.

- Experience designing and developing ETL/ELT solutions using tools such as Azure Data Factory, SSIS, Informatica, Talend, or Databricks.

- Proficiency in cloud platforms (AWS, Microsoft Azure, or Google Cloud Platform) for data warehousing, storage, and data processing.

- Experience with big data technologies such as Spark, Hadoop, or Delta Lake.

- Knowledge of data governance, data quality, master data management, and security best practices.

- Familiarity with BI and reporting tools such as Power BI, Tableau, or Qlik.

- Experience with version control systems (Git) and CI/CD pipelines.

- Strong analytical, problem-solving, and performance-tuning skills.

- Excellent communication and stakeholder management abilities.

Preferred Qualifications :

- Experience with modern cloud data warehouse platforms (Snowflake, Azure Synapse, BigQuery, Redshift).

- Knowledge of Data Lake, Lakehouse, and Medallion architecture patterns.

- Experience working in Agile/Scrum environments.

- Relevant cloud or data engineering certifications (Azure, AWS, Google Cloud, Snowflake).