Job Details

ID #44467071
State Texas
City Dallas / fort worth
Job type Permanent
Salary USD $100,000 - $110,000 100000 - 110000
Source Prudent Technologies and Consulting
Showed 2022-07-29
Date 2022-07-22
Deadline 2022-09-20
Category Architect/engineer/CAD
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Data Engineer - Hybrid

Texas, Dallas / fort worth, 75234 Dallas / fort worth USA

Vacancy expired!

DATA ENGINEER
  • Direct Hire; $105K
  • Hybrid – Remote & Onsite in Farmer’s Branch, TX (MUST be currently local to the DFW area.)
  • No CTC
  • Visa sponsorship given, if needed
This is not an internship/entry level position. Looking for candidates with 5-6+ years’ experience. If you are interested in this opportunity, please apply here or send your resume directly to Brittany at REQUIRED TECH SKILLS
  • SQL
  • Databricks
  • Python
  • Big data
  • Data modeling
  • Azure data lake/data factory
  • Cloud - Azure/AWS/Google Cloud Platform
  • Kafka exposure
  • Hadoop (nice to have)
  • Snowflake (nice to have)
JOB DESCRIPTION Skills:
  • Experience building agile, loosely coupled and extensible data platform
  • Experience ingestion of data from internal and third party sources and familiarity with data design principles
  • Excellent SQL skills and experience with relational databases
  • Professional experience with Databricks, 2+ years' experience
  • Proficiency in a major scripting language (e.g. Python)
  • Strong communication skills and ability to discuss the product with PMs and business owners
  • Self-starter who truly enjoys a fast-paced, innovative software start-up environment. An innate desire to deliver and a strong sense of teamwork
  • Passionate about groundbreaking technology, enjoys creativity, and has strong written and verbal communication skills.
  • Experience in a relevant field (Data Engineer, Data Analyst, DW Engineer etc.)
  • Experience with data warehouse technologies (Snowflake, Airflow, or similar), data pipelines (ELT or ETL), and relevant data modeling standard methodologies
Education: B.S. degree in Computer Science, Mathematics, Statistics or a similar quantitative field

Vacancy expired!

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