[Hiring] Senior Data Engineer @Recutify

Role Description

As a Data Engineer, you will be responsible for:

• Designing efficient dimensional models (star and snowflake schemas) for warehousing and analytics.
• Ensuring data quality, security, and governance.
• Performing migrations across on-premises, cloud, and cross-database environments.
• Leading custom software application development projects following a formal project life cycle methodology.

Qualifications

• Experience and technical knowledge of Microsoft tabular models and DAX.
• Experience as a Data Analyst, Data Engineer, or in a similar role.
• Experience with databases and data integration, including PostgreSQL, MongoDB, Azure Cosmos DB, Azure Synapse, and Talend.
• Exposure to AI/ML tools and workflows relevant to data engineering, such as integrating AI-driven analytics or automation within cloud platforms like Databricks and Azure.

Requirements

• Experience using Git, collaborative workflows, CI/CD pipelines, containerization (Docker/Kubernetes), and Infrastructure as Code (Terraform, ARM, CloudFormation) to deploy and migrate data solutions.
• Experience with development for dashboards and reports.
• Experience with manipulating and extracting data from diverse on-premises and cloud-based sources.
• Experience with SSIS, Azure Data Factory (ADF), and using APIs for extracting and integrating data across multiple platforms and applications.
• Duration - Experience working with Power BI.
• Experience with the GOA IT infrastructure, business direction, strategies, shared service initiatives, and/or applications.