Sr. Data Engineer

Ampcus Inc; Chicago (IL); On-site; USD 90,000 - 140,000; Full time

Job summary

An established industry player is seeking a highly skilled Sr. Data Engineer to join their innovative team in Chicago. This role focuses on leveraging AWS services and Python programming to optimize data infrastructure and processing workflows. The ideal candidate will have extensive experience with big data technologies and will collaborate closely with data scientists and analysts to deliver effective solutions. This hybrid position offers a unique opportunity to contribute to impactful projects while working in a dynamic environment. If you are passionate about data engineering and cloud services, this role is perfect for you.

Qualifications

• Proven experience in data engineering and cloud services.
• Strong troubleshooting skills and problem-solving abilities.

Responsibilities

• Utilize AWS services to manage and optimize cloud-based data infrastructure.
• Develop and maintain Python scripts for data processing tasks.

Skills

AWS (EMR, DynamoDB, S3, Lambda)

Python

PySpark

Databricks

SQL

Job description

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.

Job Title:Sr. Data Engineer

Location(s):Chicago, IL (Hybrid)


Key Skills: AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, SQL

Overview:
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.
Responsibilities:

• 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.

Qualifications:

• 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 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.