Senior Data Engineer

We are looking for a candidate who is passionate about working closely with the business to leverage data for existing use cases and identify new opportunities for our data. This person will work to improve existing infrastructure and explore new ways of processing and analyzing large volumes of data across the organization. The candidate must have demonstrated experience in designing data architecture and creating high-performance data pipelines. The role offers the flexibility to collaborate with other team members and get involved in data analysis (querying, reporting and presentation) and modeling (statistics, machine learning) projects. 

Location : , , .
Department : .

Responsibilities

  • Develop, construct, test and maintain data architectures and software (storage, API, pipelines, catalogs)
  • Control, maintain and identify ways to improve data reliability, efficiency, performance and quality
  • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity
  • Develop and deploy sophisticated analytics programs and products, machine learning and statistical methods
  • Perform peer design reviews, code reviews, pair programming and functional testing to ensure quality releases
  • Support and grow data commercialization revenues and services
  • Promote and facilitate the usage of data across the business
  • Provide support and recommendation and lead cross-functional teams to address business issues

Requirements

  • Bachelor’s Degree in Information Technology or related field, Master’s Degree preferred.
  • Hands-on experience with the following languages: Python and SQL
  • 5 to 10 years experience in a senior-level data role.
  • Demonstrated experience in implementing and improving modern data architecture.
  • Strong presentation skills and ability to communicate complex findings and ideas in plain language
  • Excellent written and verbal communication skills
  • Ability to multitask and drive success with limited resources in a matrix organization
  • An ethical approach to data management and commercialization.

 

Technical stack

  • AWS big data stack: Glue, Athena, EMR
  • Airflow, Python, Spark
  • MongoDB, Postgres, Mysql
  • Django REST Framework

Are you the right candidate?

We would love to hear from you. Please send us your resume and cover letter.

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