Senior Data Engineer, AWS, Python, SQL
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Job Description
Senior Data Engineer at Devsu designing and maintaining AWS data platforms. Collaborating with software engineers and stakeholders on analytics, ecommerce, and logistics initiatives.
Responsibilities:
- 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.
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