Description

You will be able to demonstrate expertise in leading enterprise data architecture and design for large complex businesses. You'll thrive creating value using large and diverse data volumes.

Sobre o nosso cliente

Our client is the world's leading providers of global logistics and shipping. You'll work with innovative technologies and a balanced workplace.

Principais responsabilidades

• Build harmonization and lead data integration, reconciliation, and data unification efforts across multiple data sources;

• Lead the development, validation, publishing, and maintenance of logical and physical data models;

• Define the strategy and principles for data quality management, data governance (security and access), and data archival and retention;

• Partner with Business Analysts, Data Engineers, and Data Scientist to build the full lifecycle of data products end-to-end.

Perfil desejado

• Experienced in using Open source technologies (Apache Spark, Hadoop, Hbase, Hive, Pig, Kafka, etc.);

• Designed and building a data warehouse, streaming architecture, and machine learning pipelines;

• Proficient in common programming languages including Python and R;

• Familiar with reporting packages and data visualization platforms including Power BI, Qlikview and Tableau;

• Skilled in ETL/ELT and workflow scheduling;

• Architecture and security certification preferred;

• Articulate data findings with concise charts and graphs in visualization tools;

• Familiar with a fast paced, collaborative environment with capacity to work with multiple stakeholders to complete a variety of projects;

• Demonstrate patience when working with poor quality data and lack of existing documentation;

• Potentially you can mentor and educate teammates in best practices and new patterns;

• Hold a strong interest in education reform and working for a mission driven organization.

Benefícios adicionais

You will be able to demonstrate expertise in leading enterprise data architecture and design for large complex businesses. You'll thrive creating value using large and diverse data volumes, fine tuning your skills with development opportunities.

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