Data Engineer (Remote)

  • Remote
  • Posted on November 3, 2021

Fixed Income Firm #016

Job Responsibilities:

Build and run our data platform using such technologies as public cloud infrastructure (AWS and GCP), Kafka, databases and containers
Develop our data science platform based on Python data science stack.
Work closely with our Data Science teams to build and productionize revenue generating ML models and datasets.
Build and run ETL pipelines to onboard data into the platform, define schema, build DAG processing pipelines and monitor data quality.
Manage and run mission crucial production services.

Required Qualifications:

Good core programming skills in either: Python, C++, NodeJS or Java
Strong experience working with SQL and databases such as MySQL, PostgreSQL, SQL Server
Strong understanding of scalable data query engines: e.g. BigQuery, Presto, Snowflake, Spark etc…
Experience with ETL tooling such as Airflow, Prefect, etc
Experience using stream processing platforms such as e.g. Kafka, Pulsar, Storm, Kinesis, etc…
Familiarity with Python data-science stack: e.g. Juypter, Pandas, Scikit-learn, Dask, Tensor-flow
Broad exposure to at least one cloud platform: AWS, Google, Azure
Strong understanding of Linux. Windows a plus.
Strong proclivity for automation and DevOps practices
Experience with managing increasing data volume, velocity and variety
Financial Services experience a plus but not required.
BS or higher in a technical field: CS, Physics, Maths etc…

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