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Sales / Exchange Data Engineer

Sales / Exchange Data Engineer

BullishLondon, United Kingdom
10 days ago
Job type
  • Full-time
  • Permanent
Job description

Responsibilities

  • Define and implement data marts andmon data models specifically tailored to support the sales domain.
  • Gain a deep understanding of end-to-end data models and workflows within the sales domain, including managing data flows for Salesforce to maximize value extraction.
  • Continuously identify opportunities for cost optimization, address functional / non-functional issues through test automation,pute analysis, and performance profiling.
  • Actively research and propose open-source and vendor solutions that can accelerate the achievement of business objectives.
  • Maintain high standards for code quality, organization, and adherence to best practices.
  • Work effectively as part of a global team spanning Hong Kong, New York, and London.

Qualifications

  • A pragmatic technologist with a strong sense of end-to-end ownership that thinks front and foremost about how the application of technology can accelerate delivering on business objectives.
  • Hands-on experience with Python.
  • Hands-on experience with BI tools such as Tableau, Power BI and Looker.
  • Hands-on experience with Salesforce.
  • Strong SQL skills. Strong analytical skills.
  • Hands-on experience with SQL / no-SQL databases such as Redis, Postgres, Singlestore and MongoDB.
  • Familiarity with big data technologies and data lake ecosystems Databricks, Snowflake etc.
  • Well versed in designing data structures, event schemas and database schemas.
  • Well versed in file formats such as CSV, JSON, Parquet, Avro and Iceberg.
  • Solid and opinionated knowledge of testing methodologies.
  • Solid and opinionated knowledge of coding principles and coding standards.
  • Well versed with standard SDLC practices and tooling around build, test, deploy etc.
  • Ability to operate and thrive in a dynamic startup environment.
  • Passionate about knowledge sharing and mentoring.
  • Eligibility to work in London.
  • Bonus Experience

  • Hands-on experience working with cloud technologies.
  • Familiarity with Airflow, DBT, REST API, Kubernetes, Istio and Docker.
  • Experience delivering simple web based UIs to visualize data.
  • Experience working with petabyte datasets.
  • Experience with middleware such as Chronicle Queue, Aeron, RabbitMQ and Kafka.
  • Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diversemunity. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day. Job ID JR2001042

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