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Data Platform Engineer
London Stock Exchange Group
posted 2d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Job Responsibilities
Build and run Tradeweb s data platform using such technologies as public cloud infrastructure (AWS and GCP), Kafka, databases and containers
Develop Tradeweb s 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 crucial production services.
Qualifications
3+ years of experience in a Data Platform Engineering role.
Strong software engineering experience and working with Python. Past dev experience with C++, Java, Go, Rust.
Experience building ETL and stream processing tools and frameworks using Kafka, Spark, Flink, Airflow/Prefect, etc.
Strong experience working with SQL and databases/engines such as MySQL, PostgreSQL, SQL Server, Snowflake, Redshift, Presto, etc
Familiarity with data science stack: e.g. Juypter, Pandas, Scikit-learn, Dask, Pytorch, MLFlow, Kubeflow, etc.
Experience with 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
Agile, self-starter and is focused on getting things done
Ability to deal with ambiguity
Strong communicator
Participate in on-call outside of regular business hours
Nice to have
Understands TCP/IP and distributed systems
Experience managing time series data
Familiarity with working with open source communities
Financial Services experience
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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