Data Engineer

• Assessments of existing data components, Performing POCs, Consulting to the stakeholders
• Proposing end to end solutions to an enterprise's data specific business problems, and taking care of data collection, extraction, integration, cleansing, enriching and data visualization
• Ability to design large data platforms to enable Data Engineers, Analysts & scientists
• Strong exposure to different Data architectures, data lake & data warehouse
• Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights
• Continually reassess current state for alignment with architecture goals, best practices and business needs
• DB modeling, deciding best data storage, creating data flow diagrams, maintaining related documentation
• Taking care of performance, reliability, reusability, resilience, scalability, security, privacy & data governance while designing a data architecture
• Apply or recommend best practices in architecture, coding, API integration, CI/CD pipelines
• Coordinate with data scientists, analysts, and other stakeholders for data-related needs
• Help the Data Science & Analytics Practice grow by mentoring junior Practice members, leading initiatives, leading Data Practice Offerings
• Provide thought leadership by representing the Practice / Organization on internal / external platforms

Data Architect, GCP

Data Engineer, Food

Data Engineer

Data Engineer, GCP

Data Engineer