Data Engineer - Intermediate

Description

Job Summary: You will take ownership of the data lifecycle, conducting in-depth analysis to identify trends, patterns, and opportunities, and proposing and implementing improvements that directly impact business results. Key Highlights: 1. Data analysis and visualization to identify trends and opportunities. 2. Innovation and automation to optimize workflows and reporting. 3. Strategic collaboration with cross-functional teams to drive business impact. ### **What You'll Do:** * Data Analysis and Visualization: Take ownership of the end-to-end data lifecycle—from extraction to interpretation. Conduct in-depth analysis 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 role goes beyond generating reports—you will propose and implement improvements that directly impact business outcomes. * Strategic Collaboration: Collaborate with cross-functional teams (e.g., Sales, Business) to ensure analytical solutions align with company objectives. ### **What Experience You Need:** * Bachelor’s degree in Computer Engineering, Statistics, Mathematics, or a related field. * 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 (e.g., 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 or courses. * Experience in IT project management.