AWS Data engineer w/Databrics
Compunnel
div:has([data-free-thinking-preview-answer=true])+:is(.text-message,.relative:has(>.text-message))]:-mt-2 grow"> Job Summary The AWS Data Engineer will build and support an extensive transaction stitching application designed to track the journey of money flowing through client accounts over the lifetime of funds. The role requires strong Python and SQL expertise along with hands-on experience with AWS data services and Databricks to develop scalable data processing and analytics solutions. Key Responsibilities
- Build and maintain data engineering solutions supporting transaction stitching and tracking of funds throughout their lifecycle.
- Develop data processing and transformation workflows using Python and SQL.
- Design and implement data solutions using AWS services such as Glue, S3, Lambda, and Redshift.
- Develop and maintain data processing solutions using Databricks.
- Support data integration, transformation, and processing requirements for transaction-related data.
- Collaborate with technical and business stakeholders to understand data requirements and deliver scalable solutions.
- Troubleshoot data processing issues and optimize solutions for reliability and performance.
- Strong proficiency in Python.
- Strong SQL skills and experience working with data processing and analytical workloads.
- Hands-on experience with AWS data services such as Glue, S3, Lambda, and Redshift.
- Hands-on experience with Databricks.
- Strong data engineering and data processing skills.
- Strong analytical, problem-solving, and communication skills.
Vacancy posted 1 day ago
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