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Senior Data Engineer

RBW Consulting LLP
Job LocationLondon
EducationNot Mentioned
Salary£70,000 - £80,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

My client is looking to recruit an experienced data engineer to help rearchitect one of their leading platforms. You will be joining a state-of-the-art R&D team that utilises AI, ML, NLP and modern development to build innovative solutions and best in industry products.Responsibilities and Performance Objectives:

  • Architect and build distributed, scalable, and reliable data pipelines to ingest and process data.
  • Collaborate closely with stakeholders and researchers to support machine learning, analytical and product use cases.
  • On-board, document and curate external datasets for internal usage.
  • Engage in data interpretation and forensic data analysis and troubleshooting.
    • Required skills:
  • We’re looking for an experienced engineer who can hit the ground running.
  • Self-motivated and creative. We’re building from ground up, not tweaking legacy.
  • Proficiency in scripting languages (especially Python).
  • Good communicator and team player.
  • Solid understanding of algorithms and data structures.
  • Experience of cloud platforms (e.g. Amazon Web Services).
  • Commercial experience of writing and optimizing SQL queries.
  • Experience of data orchestration platforms (e.g. Airflow).
    • Nice to have skills:
  • Experience in feature engineering for Machine Learning applications
  • Experience working within an agile team
  • Knowledge of data versioning libraries/ methods (e.g. DVC)
  • Familiarity with data lakes
  • Experience of cloud data warehouses (e.g. Snowflake)
  • Familiarity with migrations frameworks for change management (e.g. Flyway, Alembic)
  • Experience of dynamic schemas/schemas evolution
  • Experience building streaming pipelines (e.g. Kafka, Kinesis)
  • Familiarity with continuous deployment
  • Experience ingesting data from web (e.g. HTTP requests, HTML/ XML parsing)
  • Familiarity with Big Data ecosystem (e.g. Spark/ MapReduce)
  • Experience of load testing data pipelines
  • Experience of geo-indexing technologies (e.g. PostGIS)
  • Knowledge of columnar data storage formats (e.g. Parquet, ORC)
    • Required skills
  • Data
  • Data Analysis
  • Data Warehousing
  • Python
  • Airflow

    • Keyskills :
    Data Data Analysis Data Warehousing Python Airflow

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