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AWS Data Engineer - Amazon Web Services

83zero Ltd
Posted 6 hours ago, valid for 4 days
Location

Faringdon, Oxfordshire SN7, England

Salary

£60,000 - £85,000 per annum

Contract type

Full Time

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Sonic Summary

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  • My client, a Global IT Consultancy, is seeking multiple Data Engineers for permanent positions to enhance their digital careers.
  • The role offers a salary range of £60,000 to £85,000 per annum, along with a pension plan, health insurance, and life assurance.
  • Candidates should have a minimum of 3 years of experience in AWS services and a strong background in data engineering.
  • Key skills include proficiency in AWS tools, programming languages like Java and Python, and experience with ETL/ELT data pipelines.
  • The position is hybrid, based in the UK, with opportunities available in London and Manchester.

My client is a Global IT Consultancy, who are currently looking for multiple Data Engineers to join their team. This is a permanent position and represents a unique opportunity for someone to enhance their digital career.

AWS Data Engineer

Salary guideline: 60,000 - 85,000 pa + pension up to 6% contributory, Health Insurance, Life Assurance etc.

Base Location: UK Wide - Hybrid model

The Client:

We are excited to be offering this opportunity for a talented AWS DATA Engineer to join my clients rapidly expanding team. My client is a Global IT Consultancy, who are currently looking for multiple Data Engineers to join their teams in London and Manchester. This is a permanent position and represents a unique opportunity for someone to enhance their digital career.

The Role:

Essential Skills and Experience:

Have a deep, hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements

  • Experience of AWS tools (e.g Athena, Redshift, Glue, EMR)
  • Java, Scala, Python, Spark, SQL
  • Experience of developing enterprise grade ETL/ELT data pipelines.
  • Deep understanding of data manipulation/wrangling techniques
  • Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review).
  • Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion.
  • NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore.
  • Snowflake Data Warehouse/Platform
  • Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming.
  • Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc
  • Experience building and deploying solutions to Cloud (AWS, Google Cloud) including Cloud provisioning tools
  • Have hands on experience with Infrastructure-as-Code technologies: Terraform, Ansible
  • Capable of working in either an agile or Waterfall development environment, both as part of a team and individually
  • E2E Solution Design skills - Prototyping, Usability testing
  • Experience with SQL and NoSQL modern data stores
  • Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language.
  • Ability to translate business requirements into plausible technical solutions for articulation to other development staff.
  • Good understanding of Data Governance, including Master Data Management (MDM) and Data Quality tools and processes
  • Influencing and supporting project delivery through involvement in project/sprint planning and QA

Also:

  • Knowledge of other cloud platforms
  • Google Data Products tools knowledge (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.) Relevant certifications
  • Python
  • Snowflake
  • Databricks

To apply please click the "Apply" button and follow the instructions.

For a further discussion, please contact Aaron Perdesi on (phone number removed).

83zero Consulting Limited is a boutique consultancy specialising in Software Development & Agile within the UK. We provide high quality interim and permanent senior IT professionals.

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