Remote [Job - 16577] Mid-Senior Data Developer (Spark, PySpark, Python, AWS Glue), Brasil

Description:

• Work in a Build&Run team closely collaborating with product managers.
• Handle one of the largest data sets in the industry within a big data platform hosted on AWS.
• Ensure timely and quality delivery of information for investment tracking journeys, focusing on enhancing customer experience and satisfaction.
• Identify value delivery opportunities for the business from data.
• Implement build and run in the data and analytics product lifecycle.
• Contribute to data warehouse specialized layer modeling.
• Support in creating and sharing knowledge about pipelines and product standards.
• Optimize and enhance script performance in Shell Script.
• Conduct detailed analysis to identify patterns and make informed decisions.
• Deploy and operationalize Data Prep/data enrichment processes.
• Maintain and develop scripts in Shell Script.
• Contribute to building and maintaining observability for status and managerial reports.

Requirements:

• Proficiency in Spark, Big Data concepts, AWS Glue, PySpark, ETL, SQL, Linux, Shell Script, Python, Excel (data processing).
• Intermediate English skills.
• Familiarity with investment products and the economic landscape would be a plus.

Benefits:

• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Continuous paternity leave.
• Gympass.
• Profit-sharing.
• Life insurance.
• Partnership with an online mental health platform.
• CI&T University.
• Discount club.
• Support program: financial, psychological guidance, nutritionist, and more.
• Pregnancy and responsible paternity courses.
• Partnership with online course platforms.
• Language learning platform.
• And many more benefits.