Senior Cloud Data Engineer (AWS)

AI overview

Develop and implement complex cloud data solutions on AWS while leading a team and working with cutting-edge technologies to drive business insights.

Responsibilities

Data Solution Design and Development:

  • Design, develop, and implement complex and scalable data solutions on the AWS cloud platform.
  • Design, build, and optimize data pipelines to ensure efficiency and reliability.

Programming & Scripting:

  • Write clean, efficient, and maintainable SQL and Python code.
  • Develop and maintain shell scripts to support automation.

DevOps & Automation:

  • Utilize Docker containers for containerizing applications and data pipelines.
  • Establish and maintain CI/CD pipelines (e.g., GitHub Actions, GitLab CI/CD) for rapid and reliable deployments.
  • Automate data pipeline processes.

Cloud Data Services:

  • Deliver solutions on AWS data services (e.g., S3, Redshift, Glue, EMR, Lambda).
  • Design and implement data modeling and data warehousing solutions.

Project and Team Management:

  • Own and manage the technical aspects of deliveries (at least at the component level).
  • Participate in project planning, task estimation, testing, and liaising with business stakeholders.
  • Provide technical leadership to smaller teams.
  • Create technical documentation.

Requirements

Programming & Scripting

  • Must have Proficiency in both SQL and at least one imperative programming language, particularly in Python, emphasizing clean, efficient, and maintainable code.
  • Experience with shell scripting.

Devops & Automation: 

  • Familiarity with Docker and at least one CI/CD tool (e.g., Github Actions, GitLab CI/CD) to streamline deployment and manage data pipelines.

 Cloud Data Services

  • A minimum of 5 years of hands-on experience in data engineering, with a strong focus on cloud-based solutions.
  • Has delivered at least one complex and scalable data solution on at least one cloud platform’s data services (Primary AWS data engineering skills required, GCP/Azure experience beneficial.)
  • Experience in working with dbt or SQLMesh is a plus.

Soft and other skills

  • Strong team player with a proactive mindset, eager to take on challenges and drive solutions.
  • Great problem-solving skills, analytical thinking, and a structured approach to decision-making.
  • Excellent written and verbal communication skills in English

Why us?

  • Diverse projects: In each assignment there is always something new either on the technical or on the business side that helps you grow.
  • Cutting edge technology: We work with many of the most up-to-date technologies and tools.
  • Strong and motivating team: We stress the importance of working together in tight-knit, cohesive teams in which members help each other to reach the common goal.
  • Work-life balance: We help you to feel good individually as well, and coordinate work so as it should align with your leisure activities.
  • Professional development: There are team gatherings on a regular schedule where colleagues can share their knowledge, and have deep technical discussions.
  • Focus on company culture: In addition to our business and professional achievements we are proud of the social bonding in the company, which is based on mutual respect and helping one another.
  • Personal mentoring: You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones.

Perks & Benefits Extracted with AI

  • Personal mentoring: Personal mentoring: You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones.

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