Senior Data Engineer

-Design and implement data engineering architectures along with other team members, clearly communicating the solution design, requirements to be accomplished, and business goals.
-Practice patterns in data modeling, data pipelines, ETL solutions, networking, and cloud services to build high-standard solutions based on client requirements.
-Coordinate with teammates on architecture specifications, modeling strategy, and data flow in the development of solutions.
-Perform data analysis tasks such as building reports, identifying trends, and making recommendations based on findings.
-Develop models based on current trends and patterns.
-Interpret data to identify patterns and relationships between different variables.
-Develop data strategy and build measurement framework, KPIs, and data architecture.
-Manage large-scale data projects.
-Define the proper methodologies to request and extract ideas and gives outcomes and recommendations.
-Consider the customer requirements and elaborate visualizations useful for decision-making.
-Incorporate customer requirements within the technical specifications of models and solutions.
-Coordinate with teammates on architecture specifications, modeling strategy, and data flow in the development of solutions.
-Write complex queries and data validations to support the correct implementation of data pipelines.
-Optimize queries and ETL and ELT processes for data processing.
-Work with programmers, engineers, and management heads to identify process improvement opportunities.
-Prepare analysis reports for the stakeholders to understand the data-analysis steps.
-Seek continuous improvement in all assigned tasks, procedures, and responsibilities.