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Job Post Details

Data Engineer II - job post

Astreya Partners
2.7 na 5 gwiazdek
zdalnie
Pełny etat
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Wymiar pracy

  • Pełny etat

Lokalizacja

zdalnie

Pełny opis stanowiska

What this Job Entails:
We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer will support our data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
Scope:
  • Applies company policies and procedures to resolve a variety of issues
  • Works on problems of moderate scope
  • Receives general instructions on routine work and detailed instructions on new projects
Your Roles and Responsibilities:
  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for team members to assist them in building and optimizing analytics production
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position
Required Qualifications/Skills:
  • Bachelor’s degree (B.S/B.A) from four-college or university and 2 to 5 years’ related experience and/or training; or equivalent combination of education and experience
  • Builds productive internal and external working relationships
  • Exercises judgment within defined procedures and practices to determine appropriate action
  • Proficiency in languages SAS, Python, Java, and MatLab
  • ETL (Extract, Transform, and Load)
  • Database - SQL and NoSQL
  • Data Warehousing – Hadoop, MapReduce, HIVE, Presto
  • Operating system: UNIX, Linux
  • Follows standard practice and procedures when analyzing situations or data
Preferred Qualifications:
  • Programming language: Javascript, R
  • Basic Machine Learning
Physical Demand & Work Environment:
  • Must have the ability to perform office-related tasks which may include prolonged sitting or standing
  • Must have the ability to move from place to place within an office environment
  • Must be able to use a computer
  • Must have the ability to communicate effectively
  • Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers
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