Senior Cloud Data Engineer - AWS

11 hours ago

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Hiflylabs

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Hiflylabs is a data and technology company focused on providing advanced solutions in AI, data engineering, and analytics. With over 200 experts, Hiflylabs has completed more than 500 projects across the US and Europe, offering services like data strategy advisory, AI and data science solutions, and data visualization. The company is recognized for its innovative AI applications and data-driven solutions in various industries including finance, retail, manufacturing, and energy. As a trusted partner for AI and data integration, Hiflylabs excels in transforming legacy systems into modern, efficient platforms through technologies like predictive modeling, machine learning, and interactive knowledge bases.

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

📋 Description

• 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. • Write clean, efficient, and maintainable SQL and Python code. • Develop and maintain shell scripts to support 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. • Deliver solutions on AWS data services (e.g., S3, Redshift, Glue, EMR, Lambda). • 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

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

🏖️ Benefits

• 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.