Informacje o stanowisku

For our business partner (trading company from USA) , we are looking for a Data Infrastructure Engineer!

Responsibilities on the project:

• Build and run data platform using technologies such as public cloud infrastructure (AWS and GCP), Kafka, databases, and containers.
• Develop data science platform based on open source software and Cloud services.
• Build and run ETL tools and frameworks to onboard data into the platform, define schema, build DAG processing pipelines, and monitor data quality.
• Help develop machine learning development framework and pipelines.
• Manage and run mission-critical production services.

Requirements:

• 3+ years of experience in a Data Platform/Infrastructure Engineering role.
• Strong experience with Python .
• Experience building ETL and stream processing tools and frameworks using Kafka, Spark, Flink, Airflow/Prefect, etc.
• Experience with SQL and databases/engines such as MySQL, PostgreSQL, MS SQL, Snowflake, Redshift, Presto, etc.
• Familiarity with data science stack: e.g. Jupyter, Pandas, Scikit-learn, Dask, PyTorch, MLFlow, Kubeflow, etc.
• Experience using AWS/GCP (S3/GCS, EC2/GCE, IAM, etc.) , Kubernetes , and Linux in production.
• Strong proclivity for automation and DevOps practices .
• Experience with managing increasing data volume, velocity, and variety.
• English at least B2+/C1 level.

Nice to have:

• University degree (preferred in IT or similar).
• Experience with: Java, C++, Rust, Go .
• Understanding of TCP/IP and distributed systems .
• Experience managing time series data .
• Familiarity with working with open source communities .

We offer:

Location: 100% remote.

Wages: 160 PLN/H - 210 PLN/H net + VAT / B2B.

Working hours: Overlap with US at least 5h (11:00/12:00 - 19:00/20:00 Polish time).

Warszawa - Oferty pracy w okolicznych lokalizacjach