Data Engineer

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profile Job Location:

Plano, TX - USA

profile Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

Data Engineer
Location: Plano TX
Duration: Long Term

Logistics: Plano based roles- normal expectations- 3 days in the office
Project & Domain is the same- Enterprise productivity- this team has built a platform for their internal teams to leverage AI
Difference between then and now- was more POC to localize parts of cap one
Now- will be moving across all of enterprise
Data Engineering skillset core:
Engineering focus- priority
Ideal to have someone that has some analysis skillset too
Only thing thats changed a bit- before it was building pipelines- Now its building pipelines and supporting
Tech Stack:
SQL
Either Typescript or Python (for pipeline dev)
Kafka
Snowflake
Core Data Engineering Skills:
Experience in building data pipelines and app development including Python SQL Typescript
Experience with AWS and distributed tools (Kafka - preference optional - MapReduce Hadoop Hive EMR Spark Gurobi or MySQL)
Experience with ETL/ELT tools (Airbyte - preference Airflow etc) (big plus)
Experience working on real-time data and streaming applications (Kafka Flink etc.)
Experience with data warehousing experience ( Snowflake)
Experience with UNIX/Linux including basic commands and shell scripting
Experience with Agile engineering practices.
Data Analysis Skills Examples
SQL- beyond just building something that is used and consumed by sql what would be tables/views
Example:
Data platform challenge- things looking differently in source system vs. on the platform- why is that
Data produced by snowflake- some analysis there
Able to work in some sort of gray space

Data Engineer Location: Plano TX Duration: Long Term Logistics: Plano based roles- normal expectations- 3 days in the office Project & Domain is the same- Enterprise productivity- this team has built a platform for their internal teams to leverage AI Difference between then and now- was more POC ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala