Accord Technologies Inc is seeking a Senior AWS Data Engineer to join their team in Fort Mills, SC (Hybrid 3 days a week). The role involves building state-of-the-art data platforms in AWS, leveraging Python and Spark.
About the Role
As a Senior AWS Data Engineer, you will design, implement, and optimize ETL workflows using Python and Spark, contributing to a robust data Lakehouse architecture on AWS. You will provide guidance on best practices, work closely with architects and product owners, and drive the migration of existing data processing workflows to the Lakehouse architecture. This role requires strong problem-solving skills and effective collaboration within an agile team.
About You
Required:
Demonstrable experience as a senior data engineer.
Expert in Python and Spark, with a deep focus on ETL data processing and data engineering practices.
Experience implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS Step Functions, API Gateway, Athena.
Experience with data services in a Lakehouse architecture.
Bachelor’s degree in computer science, Software Engineering, or related field.
Preferred:
Financial Services expertise, working with Equity and Fixed Income asset classes and a working knowledge of Indices.
Experience in solution architecture and technical design.
A master’s degree or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics).
Accord Technologies Inc
We are one of the pioneers in Information technology consulting and staffing industry.
Company Size: 51-200 employeesInformation Technology & Services