Data Engineer II: Big Data Pipelines & Analytics

Western Governors University

United States

On-site

USD 119,000 - 179,000

Full time

10 days ago

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Benefits offered by this job

Bonuses
Health benefits
Tuition discount
Flexible PTO
Parental leave
Telehealth

Job summary

Western Governors University is seeking a Big Data Developer to design data flow across hybrid environments, focusing on OLAP/OLTP data modeling and data quality. You will help establish data standards and serve as the go-to for query performance and profiling in a fast-paced agile team.

Responsibilities include building ETL/ELT pipelines, securing data across cloud platforms, and delivering timely analytics reports.

Qualifications

  • Bachelor’s degree in MIS/CS or related field.
  • 4 years of experience in Data Engineering, Data Integration, Big Data, BI, or Software Engineering.
  • Equivalent relevant experience may substitute for education requirements.
  • 1 year of experience per 1 year of education in related fields is common practice.

Responsibilities

  • Develops and builds ETL/ELT data pipelines for data analysis.
  • Creates and maintains optimal data pipeline architecture.
  • Keeps data separated and secure across multiple cloud environments.
  • Assembles large, complex data sets meeting business requirements.
  • Delivers ad-hoc and analytical reports to internal users and teams.
  • Monitors and maintains ETL/ELT jobs and troubleshoots load issues.
  • Performs data/technology discovery from new sources and third-party apps.
  • Creates complex reports and dashboards in Cognos and Tableau.
  • Transforms data from SQL, NoSQL, APIs, JSON, XML and delimited files.

Skills

SQL
NoSQL
Python
Java
Scala
Big data tools
Cognos/Tableau

Education

Bachelor’s Degree in MIS/CS

Tools

Jira
Confluence
GitHub
Hadoop
Spark
Kafka
Databricks
Cloudera/Horton
Impala/Hive
AngularJS/HTML5/CSS

Job description

Western Governors University is seeking a Big Data Developer to design data flow across hybrid environments, focusing on OLAP/OLTP data modeling and data quality. You will help establish data standards and serve as the go-to for query performance and profiling in a fast-paced agile team.

Responsibilities include building ETL/ELT pipelines, securing data across cloud platforms, and delivering timely analytics reports.

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