Data Engineer

• Work with large-scale data (Cloud and Big Data) as a business enabler, with the ability to collect and prepare data for analysis and downstream use, ensuring data integrity and quality (data quality).
• Data architecture (entity modeling, typing, data classification, etc.).
• Design and maintain batch and streaming data pipelines;
• DataOps;
• Evolve data models and schemas to meet new engineering and business requirements;
• Ingest data from various sources into the data lakehouse;
• Catalog objects to comply with data governance practices;
• Democratize data for data analytics work;

Senior Data Engineer

Senior Data Engineer

Senior Data Architect – Databricks

Data Engineer II

Data Engineer, AWS, Mid-level