Data Engineer(W2)

Overview

On Site
Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Amazon EC2
Amazon S3
Data Modeling
Data Extraction
Computer Science
Java
PySpark
Python
Ruby
SQL
Teradata
Oracle
OLAP
Netezza
MySQL
Big Data
ELT
Apache Spark

Job Details

Local Candidates Preferred.

BASIC QUALIFICATIONS

  • 8+ years of experience as aData Engineeror in a similar role
  • Bachelor s degree in management, business, computer science, engineering, mathematics, or a related discipline
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Experience leading and influencing the data strategy of your team or organization
  • Experience in SQL
  • Developing and operating large-scale data structures for business intelligence analytics using: ETL/ELT processes; OLAP technologies; data modeling; SQL;
  • Experience with at least one database technology such as Redshift, Oracle, MySQL or MS SQL
  • Experience with at least one massively parallel processing data technology such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution

PREFERRED QUALIFICATIONS

  • Industry experience as aData Engineeror related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
  • Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc). Python and Pyspark preferred
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Experience building data products incrementally and integrating and managing datasets from multiple sources
  • Experience leading large-scale data warehousing and analytics projects, including using AWS technologies Redshift, S3, Glue, EMR, EC2, Data-pipeline and other big data technologies

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