AWS Data Engineer (Hiring Immediately)

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Overview

The position of AWS Data Engineer offered by Fynity is an immediate hiring opportunity aimed at professionals in the data engineering field. The role is designed for individuals who possess the necessary skills and experience, particularly in delivering innovative data-driven solutions for prominent government clients. The work is performed in a remote capacity from within the United Kingdom.

Company Background

Fynity is described as a dynamic Digital Transformation Consultancy, focusing on innovative technological solutions. The organization thrives on creating impactful change in various sectors powered by data engineering and robust IT solutions.

Role Responsibilities

As an AWS Data Engineer, the key responsibilities include:

  • Designing, implementing, and debugging ETL pipelines to process and manage complex datasets effectively.
  • Utilizing big data tools such as Apache Kafka, Spark, and Airflow to provide scalable data solutions.
  • Collaborating closely with stakeholders to maintain high data quality and alignment with specific business goals.
  • Employing programming expertise in Python, Scala, and SQL to ensure efficient data processing.
  • Building data pipelines using cloud-native services on AWS, particularly employing tools like Lambda, Glue, Redshift, and API Gateway.
  • Monitoring and optimizing data solutions with the aid of AWS CloudWatch and other relevant tools.

Required Skills

To be successful in this role, candidates are expected to demonstrate several key skills which include:

  • Proven hands-on experience in various data engineering projects.
  • Expertise in designing and debugging ETL pipelines.
  • Proficiency in Python, PySpark, and SQL languages.
  • Extensive knowledge and experience with AWS services such as API Gateway, Lambda, Redshift, Glue, and CloudWatch.
  • Familiarity with deploying AWS resources using Terraform as part of an Infrastructure as Code (IaC) strategy.
  • Experience in setting up CI/CD workflows using GitHub Actions.
  • A solid understanding of frameworks such as Spark and Airflow is also essential.

Security Clearance Requirement

An important aspect of the role is the necessity for SC Clearance. The criteria specify that candidates must:



  • Be a British Citizen or have resided in the UK for a minimum of five consecutive years.
  • Have a detailed employment history covering the last 10 years or longer, which may be required for the security clearance process.

Salary and Benefits

While the job listing does indicate a salary of up to £75,000, it does not specify details regarding additional benefits. However, the context suggests a competitive package likely includes participation in the consultancy's support initiatives for professional development and a collaborative team environment.

Why Join Fynity?

Joining the Fynity team avails numerous opportunities, such as:

  • Being part of a forward-thinking consultancy dedicated to digital transformation across various sectors.
  • Gaining exposure to leading-edge technologies in big data and cloud computing.
  • Collaborating with a talented team of experts who work in a fast-paced and rewarding environment.

Conclusion

This role as an AWS Data Engineer at Fynity offers an exciting opportunity for candidates who are passionate about delivering impactful data solutions. With a focus on innovation and excellence in cloud-based data engineering, this full-time position opens the door to work with prominent clients and advanced technologies. If you meet the qualifications and are ready to engage in a new challenge, apply today and take the lead in digital transformation.



This job offer was originally published on jooble.com

Fynity

United Kingdom

Data science

Full-time

February 17, 2025

11 views

1 clicks on Apply Now

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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.