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Solaris Oilfield Infrastructure

Solaris Oilfield Infrastructure

Senior Analytics Engineer
Data models
Data engineering
Data analysis
ELT pipelines
Analytics
Finance
Risk
Agile workflows
Lean principles

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Cover Letter & Resume

Germany

201-500 employees

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Overview

Exp. required:   Senior (6+ yrs)

SQL
Python
Snowflake
Job Description
  • Design data models for critical business processes in collaboration with the Risk and Finance Teams
  • Provide clean and transformed data with meaningful insights, ready for impactful analysis
  • Apply data engineering best practices to the analytics code
  • Perform complex analysis of source data and build performant and scalable ELT pipelines
  • Grow analytics capabilities with faster and more reliable components, tools, and processes
  • Focus on building strong data products and empower end-users of the data catalog
  • Lead and participate in cross-functional projects
  • Develop datasets for specific custom 3rd party tools
Job Requirements
  • Proficient in SQL and familiar with Python
  • Hands-on experience with cloud DWH solutions, preferably Snowflake
  • Knowledgeable in Finance and Risk Analytics
  • Minimum 5 years of experience in designing data pipelines and analyzing large datasets
  • Understanding of agile workflows and lean principles
  • Excellent communication skills in written and verbal English
Benefits
  • Remote-friendly working arrangement
  • Home office budget
  • Learning and development budget
  • Transparent career support framework
  • Competitive salary
Solaris Oilfield Infrastructure

Company Description: Solaris Oilfield Infrastructure manufactures and provides its mobile proppant management systems.

Founder: Not Found

Year Founded: 2014

Headquarter: Houston, Texas

Ownership: Public Company

Number of Employees: 201-500 employees

Investment Raised: Not Found

Global Ranking: 53929

Email: Not Found

Industry

Oil and Gas

Specialties

Oil & Energy
Proppant LogisticsPrimary