Senior Software Engineer, Data Platform

New Yesterday

Requirements for This Role:
Experience: 7+ years working with modern data technologies and/or building data-intensive distributed systems. Programming Skills: Expert-level proficiency in Java/Scala or Python, with a proven ability to write high-quality, maintainable code. Database and Scripting: Strong knowledge of SQL and Bash. Cloud Technologies: Experience in leveraging and building cloud-native technologies for scalable data processing. Data Systems: Previous experience with both batch and streaming systems, understanding their limitations and challenges. Data Processing Technologies: Familiarity with a range of technologies such as Flink, Spark, Polars, Dask, etc. Data Storage Solutions: Knowledge of various storage technologies, including S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc. Data Formats and Serialization: Experience with multiple data formats and serialization systems like Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc. ETL Pipelines: Proven track record of managing complex data ETL pipelines using tools like Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc. Schema Governance: Prior experience dealing with schema governance and schema evolution. Data Quality Control: Experience in developing data quality control processes to detect and address data gaps or inaccuracies. Mentorship: A desire to mentor less experienced team members and promote best practices and high standards in code quality. Problem-Solving: Strong technical problem-solving abilities. Agile Environment: Proven capability to work in an agile, fast-paced environment, prioritize multiple tasks and projects, and handle the demands of a trading environment efficiently.
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Location:
New York

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