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AWS Data Engineer (Junior/Mid-Level)

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

Glasgow, City of Glasgow G2 5LA, Scotland

Salary

£50,000 - £58,000 per annum

Contract type

Full Time

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Sonic Summary

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  • The company is seeking a Junior/Mid-Level AWS Data Engineer with a salary package ranging from £50,000 to £58,000 per annum, along with a 6% contributory pension and various benefits.
  • The role offers hybrid working options across UK-wide offices, providing flexibility for onsite and remote work.
  • Candidates should have hands-on experience with AWS services such as AWS Glue, AWS Lambda, and Amazon Kinesis, as well as programming skills in Python, Java, or Scala.
  • The position also requires knowledge of data storage solutions like AWS Redshift and familiarity with DevOps practices including CI/CD and Infrastructure as Code.
  • Interested applicants are encouraged to send their CVs to apply for this opportunity.

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 CV

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