Highly Skilled Data Solutions Engineer

4 tygodni temu

Kraków, Polska N-iX Pełny etat

N-iX is a leading global provider of high-quality licensed images, videos, and music. Our company 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.

Our customer is a two-sided marketplace that empowers the world's storytellers. As a Data Solutions Engineer, you will play a key role in building high-volume, customer-facing intelligence services across the enterprise. In this role, you will bring 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 responsibilities:

  • Design and develop 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.

Compensation: The estimated salary for this position is $120,000 per year.

Requirements:

  • 4+ years of Python development experience.
  • 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 various 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).

Bonus requirements include:

  • Hands-on experience with Snowflake, DBT, Airflow.
  • Sagemaker and MLOps experience.
  • Exposure/experience with Java/Scala or other JVM-based languages.
  • GraphQL experience.
  • Exposure to Kubernetes and Helm.
  • Strong expertise/background with Linux.

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