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Job Description & How to Apply Below
Our client is a leader in the HR SAAS space, providing solutions to their client’s workforce to help improve employee satisfaction and retention is looking for an Intermediate Software Engineer to join the Engineering – Data Intelligence team on a full time and permanent role.
Responsibilities
Develop and maintain backend services that support reporting, analytics, data export, and data‑driven product features.
Collaborate closely with product, data, and engineering teams to deliver actionable insights and AI‑powered features that enhance user experience and decision‑making.
Design and implement well‑structured APIs to integrate with internal and external BI tools (e.g., Looker, Tableau, Power BI).
Ensure data quality, governance, privacy, and compliance standards are met across all systems.
Continuously research and experiment with new tools, frameworks, and technologies to drive innovation and efficiency.
Contribute to agile development cycles, including sprint planning and retrospectives.
Requirements
Bachelor’s or Master’s degree in Computer Science or a related field.
3+ years of backend software engineering experience in enterprise environments, with experience in reporting, analytics, and data‑driven features such as data export and insights.
Good understanding of analytics fundamentals, including dimensional data modeling, data transformation, and data visualization best practices.
Experience with cloud platforms (GCP, AWS, or Azure).
Proficient in server‑side programming languages such as Python, PHP, or Go.
Experience with relational and No
SQL databases (e.g., MySQL, Mongo
DB).
Familiarity with streaming or near real‑time data ingestion technologies (e.g., Kafka, Pub/Sub).
Strong understanding of RESTful API design and integration with BI and analytics tools (e.g., Looker, Tableau, Power BI).
Strong understanding of data serialization formats such as JSON and CSV.
Knowledge of data privacy, security, and governance best practices.
Experience with agile software development methodologies (e.g., Scrum, Kanban).
Strong analytical and problem‑solving skills with attention to detail and code quality.
Proactive in exploring and adopting new technologies, frameworks, and APIs.
Excellent verbal and written communication skills in English.
Experience integrating applications with AI/ML systems is a plus.
AI may be used to support certain administrative aspects of our recruitment process. However, all applications and resumes are reviewed by qualified human reviewers, and all screening and hiring decisions are made solely by the hiring team.
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