Big Data Engineer for Predictive Analytics
19 hours ago
As a Big Data Engineer at Amazon, you will play a key role in building scalable data transformation pipelines to ingest data from various sources. You will work closely with software development engineers, product managers, data scientists, and business intelligence engineers to create the data infrastructure and processing pipelines that drive our team's initiatives.
You will need to design and develop high scalable ETLs with EMR based applications as well as supporting them on Glue ETL or Redshift. Knowledge of big data architecture and design is essential. Your analytical skills and knowledge of schema, metadata, and data structure in big data world will be crucial.
The ideal candidate should have 3+ years of experience in data engineering, a Bachelor's degree, and knowledge of distributed systems as it pertains to data storage and computing. Master's degree and additional certifications are highly valued.
Key responsibilities include creating scalable data solutions using AWS and/or Amazon internal tools, creating and maintaining business logic for data transformation and ingestion pipelines, and providing quality data for Amazon downstream teams.
A day in the life involves working with direct customers in BI and Data Science, helping them access data they need for analysis, addressing data quality issues, and resolving data requirements for experiments, training, and back-testing models.
We offer a competitive salary of around $180,000 per year, depending on location and experience. As an equal opportunity employer, we value diversity and inclusivity in the workplace.
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