Sr. Data Engineer

• AWS Management: Utilize AWS services such as EMR, DynamoDB, S3, and Lambda to manage and optimize cloud-based data infrastructure.
• Python Programming: Develop and maintain scripts and applications using Python to automate data processing tasks and improve system efficiency.
• Big Data Processing: Implement and manage data processing workflows using PySpark and Databricks to handle large-scale data sets.
• Database Management: Design, implement, and maintain SQL databases to ensure data integrity, performance, and accessibility.
• Data Integration: Integrate data from various sources, ensuring consistency and reliability for analytics and reporting.
• System Optimization: Perform regular system upgrades, troubleshooting, and compliance checks to maintain secure and reliable data operations.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Travel: Ability to travel to local and remote sites as needed to support organizational objectives.

We are seeking a highly skilled Sr. Data Engineer to join our team in Chicago. The ideal candidate will have extensive experience in data engineering, cloud services, and big data technologies, with a strong focus on AWS services, Python programming, and data processing frameworks., * Experience: Proven experience in data engineering, cloud services, and big data technologies.

• Technical Skills: Proficiency in AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, and SQL.
• Problem-Solving: Strong troubleshooting skills and ability to resolve complex technical issues.
• Communication: Excellent verbal and written communication skills to interact effectively with team members and stakeholders.

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.