
Data Engineer - Artificial Intelligence & Machine Learning
Create and maintain optimal data pipeline architecture; assemble large, complex data sets that meet functional / non-functional requirements design and build production data pipelines from ingestion to consumption within a big data architecture. Build the necessary datamarts, data warehouse required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. Create necessary preprocessing and postprocessing for various forms of data for training/ retraining and inference ingestions as required. Create data visualization and business intelligence tools for stakeholders and data scientists for necessary business/ solution insights. Identify, design, and implement internal process improvements: automating manual data processes, optimizing data delivery, etc. Ensure our data is separated and secure across national boundaries through multiple data centers and AWS regions.
At least 5 years working as a data engineer in supporting large data transformation initiatives related to machine learning
Experience in building and optimizing ‘big data’ pipelines and data sets
Experience with AWS cloud services: EC2, EMR, RDS, Redshift and familiarity with various log formats from AWS.
Python
Java
C++
Data pipeline platforms
Time Management Skills
Workflow management
Spark-Streaming
Process Improvement
Communication Skills
Problem-solving and resourcefulness
Flexibility/Adaptability
Detail Oriented and Organized
Multi tasker
Driven for excellence
According to JobzMall, the average salary range for a Data Engineer - Artificial Intelligence & Machine Learning in 800 Federal St, Andover, MA 01810, USA is $100,000 to $150,000 per year. This range could vary depending on the qualifications and experience of the individual.
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Schneider Electric SE is a French multinational corporation headquartered in Rueil-Malmaison, France.

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