AWS Developer

1 dia atrás

Brazil Meta Tempo inteiro

About the Role We are seeking an AWS Developer with strong cloud and on-premise experience to help modernize our data and analytics platforms. This role focuses on migrating Oracle-based systems to AWS, building and automating data pipelines, and ensuring that analytical capabilities are scalable and reliable in the cloud. The ideal candidate is hands-on with AWS development and Python scripting, understands data modeling and structures, ETL process and has experience supporting BI and reporting platforms such as Tableau or OBIEE. This is a technical role that requires both engineering skills and a strong analytical mindset to understand how data supports business insights. Key Responsibilities · Support the migration of existing on-premise Oracle/BI platforms (including OBIEE, ThoughtSpot, and Tableau) to AWS. · Develop and maintain data pipelines, data models, and analytical layers across Oracle and AWS ecosystems. · Implement and optimize ETL processes using modern data warehousing and data lake concepts. · Write and optimize Python scripts for automation, data transformation, and integration. · Contribute to the design of data lakes and data layers, ensuring consistency, scalability, and business alignment. · Support data science initiatives leveraging AWS SageMaker and other advanced analytics tools. · Analyze and understand existing data structures and models, including how financial data is stored and used. · Collaborate closely with business and technical teams to ensure smooth data flow and reporting across platforms. · Collaborate with BI teams to enhance and maintain reporting platforms and visualization tools (OBIEE, Tableau, ThoughtSpot). Required Qualifications · Strong hands-on experience with AWS development, especially data and analytics services (S3, Glue, Redshift, Athena, SageMaker). · Proven background in on-premise Oracle environments and data migration to cloud. · Solid understanding of Data Warehousing and Data Lake concepts, as well as ETL development (ODI/ODIEE experience preferred). · Proficiency in Python scripting and PySpark for data engineering and automation. · Experience with BI and reporting tools, including OBIEE, Tableau, and ideally ThoughtSpot. · Strong grasp of data modeling, data governance, and data lifecycle management. · Exposure to financial services data and understanding of financial terminology and concepts. · Analytical and structured thinker with strong problem-solving skills. · Excellent communication and collaboration abilities — speaks up, proposes solutions, and helps improve processes. · Proactive and curious, takes initiative to simplify or optimize workflows. · Focused on design thinking and continuous improvement. · Fluent English. Additional Information · Work hours aligned to U.S. Eastern Time (EST). · Remote from Brazil.

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