Senior Data Engineer (#2327)

18 Hours ago • 4 Years +

About the job

SummaryBy Outscal

Must have:
  • 4+ years of Python development practice
  • Experience in low latency stream processing technology (Kafka, Spark, Storm, Samza, Flink, etc)
  • Knowledge of SQL, basic data modeling experience
  • Experience with both REST and GraphQL-based design patterns
  • Knowledge of and experience with a variety of data stores
  • Understanding of best practice access patterns and modeling (DynamoDB, RDBMS, columnar data formats, etc)
  • Exposure to IaC tools like Cloudformation / Terraform
  • CI/CD systems experience (Jenkins, Github Actions, etc)
  • AWS cloud experience (EKS, IAM, Lambda, EC2, DynamoDB, etc)
  • Upper-Intermediate level of English
  • Ukrainian language Advanced or higher
Good to have:
  • Hands-on experience with Snowflake, DBT, Airflow
  • Exposure / Experience with Java/Scala or other JVM-based language
  • GraphQL experience
  • Exposure to Kubernetes and Helm
  • Strong expertise/background in Linux
Perks:
  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
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N-iX is looking for a passionate and motivated Data Engineer to join our team.

Our customer is a leading global provider of high-quality licensed images, videos, and music. Our customer helps inspire graphic designers, creative directors, video editors, filmmakers, web developers, and other creative professionals by providing diverse content to businesses, marketing agencies and media organizations around the world. Content creators contribute their work to our client, where end users buy and use it in a diverse array of creative personal and business projects. It's a two-sided marketplace that empowers the world's storytellers.

As a Data Engineer you will play a key role in building high volume, customer facing intelligence service across the enterprise. In this role you will be bringing modern data technologies and practices to enable our customers, and internal stakeholders to make effective decisions by providing relevant data products and services. You will work closely with the team and Product Managers to establish clear priorities and milestones.

The day-to-day:


  • Build data services in Python with an emphasis on best practices, consistency, performance, and scalability
  • Day-to-day operational support of data engineering infrastructure, products, and services, including on-call routine

Requirements:


  • 4+ years of Python development practice
  • Experience in low latency stream processing technology (Kafka, Spark, Storm, Samza, Flink, etc)

  • Knowledge of SQL, basic data modeling experience as well as experience with both REST and GraphQL-based design patterns

  • Knowledge of and experience with a variety of data stores and an understanding of best practice access patterns and modeling (DynamoDB, RDBMS, columnar data formats, etc)

  • Exposure to IaC tools like Cloudformation / Terraform

  • CI/CD systems experience (Jenkins, Github Actions, etc)

  • AWS cloud experience (EKS, IAM, Lambda, EC2, DynamoDB, etc)


  • Upper-Intermediate level of English
  • Ukrainian language Advanced or higher

Will be a plus:

  • Hands-on experience with Snowflake, DBT, Airflow

  • Exposure / Experience with Java/Scala or other JVM-based language

  • GraphQL experience

  • Exposure to Kubernetes and Helm

  • Strong expertise/background in Linux

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
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