AWS Data Engineer

Job Description:

Enter role description, key responsibilities, and job description:

•         Hands on Senior Engineer with experience of working within high performance development teams

•         Significant AWS Engineering experience implementing Amazon well architected frameworks, serverless solutions and improving existing platforms using AWS technologies with Agile delivery methods

•         Demonstrable experience of Python 3, Python data management/manipulation libraries and usage of Python with AWS components

•         Demonstrable experience working in the Data domain, covering the full data pipeline from ingestion, mastering, management and consumption/distribution of large datasets

•         Financial Services expertise preferred working with Equity and Fixed Income asset classes and a working knowledge of Indices

•         Experience with No-SQL and Relational databases and data analysis using SQL.

Enter key behaviours and skills required to be successful in the role:

•        Education & Work experience:

o    7+ years of AWS and Python development engineer experience within the Financial Services and Data domains

o    Bachelor’s Degree in MIS, Computer Science, or IT related field or equivalent IT related experience.

•         IT Skills

o    Deep experience of AWS solutions incl. Step Functions, Glue, Lambda, RDS, (e.g. DynamoDB, Aurora Postgres), SQS, API Gateway, Athena

o    Experience of Python

o    Experience of the delivery and optimization of high-performance data pipelines from ingestion to storage to distribution

o    Comfortable with data analysis and SQL

o    Familiar with DevOps practises, implementation of infrastructure as code (IaC) using tools like CloudFormation or Terraform, usage of CI/CD pipelines for efficient and automated test and deployment processes

o    Familiar with container technologies

•         Soft Skills

o    An enthusiastic advocate of high-quality solutions

o    Strong communication and documentation skills