Data Engineer - Scalable Pipelines & ML Insights

Tredence Analytic; Chicago (IL); On-site; USD 80,000 - 100,000; Full time

Job summary

Tredence Analytic is seeking a Data Engineer to facilitate operations for Data Scientists. The responsibilities include designing advanced data systems, evaluating data sets for insights, and coding for performance reliability.

The ideal candidate will have a propensity for technology and business analytics, along with expertise in programming languages such as Python, C++, and Java. This role requires strong analytical skills and the ability to work collaboratively.

Qualifications

• At least 3 years of proven experience as a Data Engineer.
• Expert proficiency in Python, C++, Java, R, and SQL.
• Excellent analytical and problem-solving skills.

Responsibilities

• Design, develop, document, and test advanced data systems.
• Evaluate structured and unstructured datasets using statistics and data mining.
• Communicate with all levels of stakeholders effectively.

Skills

Python

Java

SQL

C++

R

Data Engineering

Education

Bachelor's degree in Data Engineering, Big Data Analytics, or related field

Tools

Hadoop

Spark

Informatica

SQL Server

Oracle

Kafka

Job description

Tredence Analytic is seeking a Data Engineer to facilitate operations for Data Scientists. The responsibilities include designing advanced data systems, evaluating data sets for insights, and coding for performance reliability.

The ideal candidate will have a propensity for technology and business analytics, along with expertise in programming languages such as Python, C++, and Java. This role requires strong analytical skills and the ability to work collaboratively.