Consultant - Data Engineer
Insygnum LLC
- Chicago, Illinois, United States
- Chicago, Illinois, United States
Über
Why work here
Joining insygnum now offers several unique opportunities
You will receive competitive salary, benefits, and stock options
You will be working on hard, interesting problems
You will help shape the culture of the company as we grow
You will have the opportunity to apply your skills in a meaningful way and have a real-world impact
Responsibilities You’ll help design a new system for capturing, storing, analyzing, and acting on performance, security, and network data. The ideal candidate will have a solid grasp of several different database and data warehousing technologies to help architect ETL for. Technologies to be used may include some combination of relational databases (PostgreSQL, Teradata, Aster, HANA), NoSQL, Hadoop, Object‑based stores, and OLAP.
Help design an architecture for federated data stores and data fusion
Help design methods for storing data in a way that facilitates extremely fast data parsing and management
Implement “glue code” that connects middle tier components with backend components
Implement data management and analytics code utilizing data architecture (e.g. map reduce)
Collaborate with machine learning folks to determine how to analyze various data sets and set up methods for querying data stores
Collaborate with data architects to understand the applications we integrate with and the data they produce
Review requirements for new approaches to big data storage and analytics
Design methods for caching, paging, and integrating real‑time data with historical data stores
Requirements
Development knowledge for integrating components and contributing to core code base – Java preferred
Solid understanding of database and data warehousing technologies
Knowledge of SQL as well as NoSQL queries, syntax, and technologies
Knowledge of big data requirements, applications, and technologies such as Hadoop
Knowledge of ETL methods and approaches including triggers, named views, temporary tables, etc.
Bonus Points
Java is strongly preferred (e.g. for working with map reduce) but not ultimately a requirement if you excel in other areas
Strong SQL skills are highly desirable
OLAP experience
Experience with ETL tools like Informatica, Boomi, Pentaho, AbIntio, Datastage, etc.,
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Sprachkenntnisse
- English
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