Senior Data Engineer

Job Description

DUTIES:

Design, develop, test, deploy, support, enhance data integration solutions seamlessly to connect and integrate Thermo Fisher enterprise systems in our Data Science and Enterprise Data Platform.

Innovate for data integration in Apache Spark-based Platform to ensure the technology solutions leverage cutting-edge integration capabilities.

Facilitate requirements gathering and process mapping workshops, review business/functional requirement documents, author technical design documents, testing plans and scripts. Assist with implementing standard operating procedures, facilitate review sessions with functional owners and end-user representatives, and leverage technical knowledge and expertise to drive improvements.

Define, design and document reference architecture and lead the implementation of BI and analytical solutions.

Follow Agile development methodologies to deliver solutions and product features by following DevOps practices.

Collect business requirements from Thermo Fisher's Digital Marketing team, and validate business rules and testing data solutions and quality to enable marketing team' Algorithmic Targeting, Automation and Digital Sales Enablement.

REQUIREMENTS: Bachelor's degree in Computer Science, Data Science, Engineering, or closely related field of study plus 9 years of experience in data analysis, data engineering, or related occupations/experience. Employer also accepts a Master's degree plus 7 years of experience as an equivalent alternative.

Must have experience or knowledge of:

SQL data analytics;

Python;

Time series and regression modeling;

Machine Learning, including classification model;

Prediction models;

Databricks, including ETL and job creation/scheduling;

AWS or Azure;

Apache Spark;

PySpark;

DevOps.

TRAVEL:Up to 25% domestic and international travel required. Telecommuting Employee: Reports to company headquarters in Waltham, MA. Can work remotely or telecommute.