Senior Data Engineer (AWS, Python & SQL)

About the role

Devsu is looking for a Senior Data Engineer to design, build and optimise scalable data platforms supporting analytics, ecommerce, logistics and marketing initiatives. The role focuses on building robust data pipelines, improving the data infrastructure and delivering high-quality, reliable data solutions in an AWS environment.

Key responsibilities

• Design, build and maintain scalable data pipelines for analytics, ecommerce, logistics and marketing.
• Improve and maintain the data infrastructure and tooling, including Redshift/Snowflake, Airflow and Fivetran.
• Architect data processing systems able to handle complex data flows and large-scale datasets.
• Develop reliable, efficient and cost-effective data solutions in AWS.
• Ensure data quality through automation and best engineering practices.
• Optimise platform performance, resiliency, scalability and operational costs.
• Collaborate with software engineers, analysts and business stakeholders, and mentor engineers and analysts.
• Take part in architecture discussions and technical decisions.

Required profile

• 4+ years of experience as a Data Engineer with modern data technologies.
• Experience processing large-scale datasets and designing data processing systems in AWS.
• Experience with Redshift and/or Snowflake, and knowledge of Fivetran or similar ingestion tools.
• Strong understanding of data quality, automation and data engineering best practices.
• Nice to have: streaming technologies (Kafka, AWS Kinesis Firehose), Docker/Kubernetes, Ruby or R, data warehouse builds or migrations, and project leadership or mentoring experience.

Required skills

• Python and SQL (strong proficiency)
• Apache Spark and Apache Airflow
• AWS, Redshift and/or Snowflake
• Fivetran or similar data ingestion tools

What we offer

• A stable, long-term contract with career growth opportunities.
• Private health insurance and a flexible PTO policy with paid holidays.
• Continuous training, mentorship and learning programs.
• Free access to AI training resources and AI tools.
• Flexible schedule and remote-friendly culture.
• Projects for clients in the US and Latin America, working alongside engineers from both regions.