Data Engineer

Summary

I have extensive expertise working in several companies as a Data Engineer with roughly 5 years of experience. During these times, I worked on developing scalable ETL pipelines to load data from diverse sources using the Big Data ecosystem like HDFS, Hive, Spark, and AWS services such as DMS, S3, Glue, Redshift, Athena, Quicksight, and others. Additionally, I have also worked on Databases using Oracle, MySQL, and Teradata.

Also, I'm certified in AWS Certified Solutions Architect - Associate

Expectations

As a Data Engineer, I'm looking for a role where I can implement my AWS and Big data skills to write complex queries to design an ETL pipeline in :
Assembling large, complex sets of data that meet non-functional and functional business requirements
Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Employment Preferences

Relocation destinations:

  • North Brunswick, New Jersey, United States
  • New York, United States
Expected Base Salary

**0,000 USD

Academic Degree
Experience

Total Professional Experience

5 years

Startup Experience

1 year

Big-Tech Companies

4 years

Enterprise Experience

no experience
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