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Created 22 days ago
Megaphone Megaphone

Data Engineer at Megaphone

Remote in USA

  • Ahmed shaheen
1 Applicants


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Job details

These are the details of the job, consider each of them before you apply.

  • Company: Megaphone
  • Salary: Salary to be Agreed
  • Remote?: Yes

Job Description:

About the Role
Megaphone is looking for a Data Engineer to help develop and own data solutions at our fast-paced podcast technology and ad services company. The Data Engineer role is an excellent opportunity for someone who wants to join a close-knit and smart team at a rapidly growing business. If you are a highly independent worker and have excellent organizational and problem-solving skills, this is the job for you. 
  • Working at Megaphone also means full benefits, competitive salary, and a friendly work environment. 
  • This role is open to fully remote candidates, as well as candidates near our Reston, VA office. 
  • This role will report to the VP of Engineering. 

Key Responsibilities
  • Develop and maintain ETL/ELT processes at scale, handling hundreds of millions of records per day
  • Write advanced SQL for data wrangling, as well as scheduled reporting and automated queries
  • Perform data exploration and analytics with the goal of developing new insights and business value
  • Help develop APIs and dashboards to surface data insights
  • Maintain awareness and knowledge of industry best practices to ensure Megaphone is able to take advantage of new tools and techniques
 
Requirements and Attributes of the Ideal Candidate
  • 3+ years of experience
  • Hands-on implementation and maintenance of a large-scale, high-volume data pipeline
  • Knowledge of programming language(s) for data processing, such as Python, Scala, R, and libraries and tools, such as Dataflow
  • Experience with Ruby and/or Go is preferred
  • In-depth knowledge of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. Druid, Cassandra), as well as analytics using BigQuery
  • Familiarity with containers and related technologies, such as Docker and Kubernetes, and working with public cloud (e.g. AWS or Google Cloud Platform)
  • Knowledge of machine learning and time-series forecasting methodologies
  • Analytical mind with problem-solving aptitude
  • Ability to work independently

Megaphone is committed to excellence through diversity, which involves attracting talented people from diverse backgrounds and traditions. We encourage everyone to apply.


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