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Quant Capital

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AWS Data Engineer

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Overview

In this role you will design, build and monitor large-scale batch and streaming data pipelines in an AWS cloud environment to support real-time data needs. You will work within an agile, tech-driven environment focused on scaling a leading fintech SaaS product for wealth management. The position offers a highly technical, low-drama culture with a strong emphasis on modern data engineering practices. You will help shape data architecture and enable data-driven decision making across the business. This is a remote role with occasional travel to the London office and a strong opportunity to impact international growth.

Responsibilities
  • Design, build, monitor and manage large-scale batch and streaming data pipelines in AWS
  • Data analysis and reporting support
  • Reverse engineer existing SQL scripts to understand and improve data flows
  • Data modelling and schema design
Key requirements
  • Experience building complex data pipelines/ETL/ELT scripts
  • Extensive experience with SQL
  • Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery
  • Experience with Python
  • Knowledge of AWS components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS
  • Experience with implementing REST APIs
  • BI knowledge/experience
  • Knowledge of tools Terraform, Airflow, DBT and Harness
  • Knowledge of modern data engineering practices
  • collaborative
  • problem-solving
  • self-motivated
  • SQL
  • Python
  • ETL/ELT pipelines

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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