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AWS Data Engineer (Junior/Mid-Level)

83zero Ltd
Posted a day ago, valid for 23 days
Location

Manchester, Greater Manchester M24WU, England

Salary

£50,000 - £58,000 per annum

Contract type

Full Time

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Sonic Summary

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  • The position is for a Junior/Mid-Level AWS Data Engineer with a salary package of £50,000 - £58,000 per annum plus benefits including a 6% contributory pension and unlimited certification training budget.
  • The role offers hybrid work flexibility and is open to candidates across the UK.
  • Candidates should have hands-on experience with AWS services like AWS Glue, Lambda, and Kinesis, along with programming skills in Python, Java, or Scala.
  • Experience with data storage solutions such as AWS Redshift and familiarity with DevOps practices are also required.
  • Ideal candidates will be passionate about using cloud technology to design and optimize data pipelines, with a focus on innovation and impactful data insights.

AWS Data Engineer (Junior/Mid-Level)

Package: 50,000 - 58,000 per annum + 6% contributory pension, UNLIMITED external certification training budget, health insurance, life assurance, and more!

Location: UK-Wide offices | Hybrid (Onsite/Remote flexibility)

We're seeking talented AWS Data Engineers to join our team! If you're passionate about harnessing the power of Cloud technologyto design, develop, and optimize data pipelines, this is your opportunity to thrive in a role where innovation meets impact.

Your Role

As an AWS Data Engineer, you'll play a key part in transforming data into actionable insights:

  • Design & Build Data Pipelines: Craft resilient pipelines to ingest, process, and transform data for analytics and reporting.
  • Implement ETL/ELT Workflows: Seamlessly migrate data to Data Warehouses, Data Lakes, and Lake Houses using cutting-edge AWS and open-source tools.
  • Adopt DevOps Excellence: Leverage CI/CD, Infrastructure as Code (IaC), and automation to streamline and elevate our data engineering practices.

What You'll Bring to the Table

We're looking for AWS Data Engineers with hands-on experience and a knack for solving complex data challenges.

  • AWS Expertise: Proven experience with services like AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, and AWS Step Functions.
  • Programming Proficiency: Strong skills in Python, Java, or Scala.
  • Data Storage Know-How: Experience with AWS Redshift, RDS, Hadoop, and Data Lake architectures.
  • DevOps Mindset: Familiarity with CI/CD, IaC, and other DevOps tools and methodologies.

Please send your most up-to-date CV to discuss further

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