Senior Data Engineer, AWS, Python, SQL

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Devsu

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

B2B • Enterprise • SaaS

Devsu is a technology services company that provides a range of strategic solutions to help clients scale their operations, enhance efficiency, and drive innovation. The company specializes in staff augmentation, dedicated teams, and custom development, leveraging elite tech talent to meet the specific needs of each project. Devsu offers services in quality assurance, cloud engineering, AI prototyping, and data analytics, among others, ensuring high-quality and scalable solutions. By acting as an integrated partner, Devsu helps businesses achieve faster development cycles and better project outcomes with timezone-aligned teams. With a focus on cutting-edge technology and streamlined processes, Devsu empowers businesses to transform their vision into reality.

📋 Description

• Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing. • Improve and maintain the company's data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran. • Architect data processing systems capable of handling complex data flows and large-scale datasets. • Develop reliable, efficient, and cost-effective data solutions in an AWS environment. • Ensure high standards of data quality through automation and best engineering practices. • Optimize platform performance, resiliency, scalability, and operational costs. • Collaborate closely with software engineers, analysts, and business stakeholders. • Mentor engineers and analysts on data engineering best practices. • Participate in architecture discussions and technical decision-making.

🎯 Requirements

• 4+ years of experience as a Data Engineer working with modern data technologies. • Strong proficiency in **Python** and **SQL**. • Experience processing large-scale datasets. • Hands-on experience with **Apache Spark** and **Apache Airflow**. • Experience designing and architecting data processing systems in **AWS**. • Experience with **Redshift** and/or **Snowflake**. • Knowledge of **Fivetran** or similar data ingestion tools. • Strong understanding of data quality, automation, and data engineering best practices. • Excellent communication and interpersonal skills. • **Nice to Have** • Experience with streaming technologies such as **Kafka** or **AWS Kinesis Firehose**. • Knowledge of **Docker** and/or **Kubernetes**. • Familiarity with **Ruby** or **R**. • Experience building or migrating a Data Warehouse. • Experience leading projects or mentoring technical teams.

🏖️ Benefits

• A stable, long-term contract. • Continuous Training. • Private Health insurance. • Flexible schedule. • Work with some of the most talented software engineers in Latin America and the US, doing challenging work and world-class software for clients in the US and around the world. • Opportunities for career growth. • Remote-friendly culture that promotes work-life balance. • Continuous training, mentorship, and learning programs to keep you at the forefront of the industry. • Free access to AI training resources and state-of-the-art AI tools to elevate your daily work. • A flexible Paid Time Off (PTO) policy as well as paid holiday days. • Challenging, world-class software projects for clients in the US and LatAm. • Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment.