Keely DeWit

Sr Data Engineer Terms: All Capgemini contracts are ongoing with a right to hire after 3 months. Conversion at 90 days is rare and pre-specified by Capgemini, but the right to hire remains in place. Target Pay Rate: $67/hr C2C Location: Remote Details: Responsibilities: • Design, develop, and maintain scalable data pipelines and architectures for data processing and integration. • Implement data streaming solutions to handle real-time data ingestion and processing. • Utilize Python and PySpark to develop and optimize data workflows. • Good to have AWS skills to leverage AWS services such as S3, Redshift, Glue, Kinesis, and Lambda for data storage, processing, and analytics. • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. • Ensure data quality, integrity, and security across all data pipelines. • Monitor and troubleshoot data pipeline performance and reliability. • Mentor junior data engineers and provide technical guidance. • Stay updated with the latest trends and technologies in data engineering and streaming. Required Qualifications: • Bachelor’s degree in computer science, engineering. • 8+ years’ experience in ETL development role. • Experience working in Python, PySpark and real time streaming pipeline • Ability to communicate effectively. • Strong process documentation skills.