Sr Data Engineer

Responsibilities:

• Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes.
• Builds, evolves and scales out infrastructure to ingest, process and extract meaning out of data.
• Analyzes data to spot anomalies, trends and correlate similar data sets.
• Designs, develops and implements statistical models to carry out various novel aspects of classification and information extraction from data.
• Troubleshoots problems, identifies possible solutions, and resolves accordingly.

Requirements:

• Bachelor's degree in Business Analytics, Mathematics, Computer Science, Statistics, Data Science or related analytical degree or experience required.
• 6+ years of experience, with 4 or more years in quantitative analytics/data mining and experience presenting those results to business partners required.
• Experience in data integration and database programming for relational and nonrelational databases.
• Experience with advanced analytics tools using programming languages such as R, Python, Java and others.
• Familiarity with a variety of statistical models including logistic/linear regression, cluster analysis, propensity models, and other modeling techniques required.
• Strong collaboration skills. Works well in a team environment and cross-functionally.

Key Skills:

• Data Warehousing. 
• Data Architecture. 
• Coding. 
• Operating System. 
• Apache Hadoop-Based Analytics. 
• Machine Learning.