Data & Analytics Engineer

Job Description

Role Overview The ideal candidate will design scalable data pipelines, streamline collaboration, and deliver intuitive analytics solutions. Key skills include documentation, Agile Scrum, SQL, cloud infrastructure (AWS/Azure/GCP), statistics, data visualization (Tableau/Power BI), and AI-driven prompt engineering. Key Responsibilities Documentation: Maintain clear records of data models, ETL processes, and workflows. Agile Scrum: Participate in sprint planning, stand-ups, and retrospectives. SQL Expertise: Write optimized queries and manage relational/non-relational databases. Cloud Management: Architect and maintain cloud-native data solutions. Statistics & Analysis: Apply statistical methods for data validation and predictive insights. Data Visualization: Develop dashboards and reports for business insights. Prompt Engineering: Designing input prompts to elicit accurate and relevant LLM responses. Qualifications & Skills Bachelors or Masters in Computer Science, Statistics, or a related field. 6 months to 2 years of experience in data engineering or analytics. Strong SQL and cloud platform expertise (AWS/Azure/GCP). Analytical mindset with experience in statistics and machine learning. Strong communication and collaboration skills. Why Join Us? Work on cutting-edge AI-driven analytics. Collaborate with a dynamic, fast-growing team. Build impactful and scalable data solutions.