Data Engineer

Location: Atlanta, GA

Competencies:


Digital : BigData and Hadoop Ecosystems

Digital : Python for Data Science

Palantir Core

MySQL

Data Governance

Digital : Cloud Computing (General)

Role Description:

Proficiency in Python, SQL, and R programming languages.

Proficiency in Skywise Palantir.

Hands-on experience with Domo, SAS, and web development languages.

Strong knowledge of cloud platforms (AWS, Azure) and big data ecosystems (Hadoop).

Expertise in machine learning techniques and statistical modeling.

Excellent data visualization and storytelling skills.

Bachelors or Masters degree in Data Science, Computer Science, Statistics, or related field.

Preferred Skills:

Experience with advanced analytics and big data tools.

Familiarity with NLP, deep learning frameworks, and modern visualization libraries.

Strong problem-solving and communication skills.

Design and Implement:

Predictive models and machine learning algorithms to solve business problems.

Perform feature selection using techniques such as PCA, Lasso, and Elastic Net.

Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM.

Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions.

Create:

Interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib.

Communicate insights through compelling data storytelling for diverse stakeholders.

Collaborate with cross-functional teams to integrate data solutions into business processes.