Data Engineer - Intermediate

Description

Job Summary: You will manage the data lifecycle, innovating and automating processes to deliver direct business impact through analytical solutions and strategic collaboration. Key Highlights: 1. Data analysis and visualization to identify trends and opportunities 2. Innovation and automation to optimize workflows 3. Strategic collaboration with cross-functional teams ### **What You’ll Do** * Data analysis and visualization: Take ownership of the data lifecycle—from extraction to interpretation. Conduct in-depth analyses and apply advanced statistical techniques to identify trends, patterns, and opportunities. * Innovation and automation: Automate key processes to optimize workflows and reduce report generation time. * Business impact: Work closely with business teams to understand their challenges and translate them into concrete analytical solutions. Your work will go beyond generating reports—you’ll propose and implement improvements that directly impact company results. * Strategic collaboration: Collaborate with cross-functional teams (e.g., Commercial, Business) to ensure analytical solutions align with company objectives. ### **What Experience You Need** * Computer Engineering / Statistics / Mathematics or related degree. * 4\+ years of experience in data analysis and manipulation workflows. * 4\+ years of hands-on experience with SQL, BigQuery, Python, and Java. * 4\+ years of experience with data visualization tools (Looker Studio or similar). * Experience implementing data management best practices. ### **What Could Set You Apart** * Critical thinking and problem-solving skills. * Effective communication, proactivity, and autonomy. * Experience with cloud platforms (GCP, AWS, and/or Azure). * Experience in data modeling and data architecture. * GCP certifications/courses. * IT project management experience.