Senior Data Platform Engineer (Fintech)

We collaborate exclusively with a stable US-based client, a global leader in electronic trading platforms that has operated for over 25 years. The company serves the world’s leading asset managers, central banks, hedge funds, and other institutional investors — facilitating around 30 trillion USD in trades every month across its electronic marketplaces.

• Experience as Data Platform Engineering or SRE
• Strong software engineering experience and working with Python
• Experience building ETL and stream processing tools and frameworks using Kafka, Spark, Flink, Airflow/Prefect
• Strong experience working with SQL and databases/engines such as MySQL, PostgreSQL, SQL Server, Snowflake, Redshift, Presto
• Experience with using AWS/GCP (S3/GCS, EC2/GCE, IAM), Kubernetes and Linux in production
• Strong proclivity for automation and DevOps practices
• Experience with managing increasing data volume, velocity and variety
• Agile, self-starter and is focused on getting things done
• Strong communicator

Nice to have:

• Familiarity with data science stack: e.g. Jupyter, Pandas, Scikit-learn, Dask, Pytorch, MLFlow, Kubeflow
• Financial Services experience

• Build and run data platform using such technologies as public cloud infrastructure (AWS and GCP), Kafka, Spark, databases and containers
• Develop data 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 crucial production services

Work mode: 100% Remote in NYC time zone (at least 5/6 hours of overlap with NYC)