Semi Senior / Senior Data Engineer, AWS, Python, SQL

This is a fully remote position, open to applicants in Colombia.

📋 Description

• We are seeking a **Senior Data Engineer** to conceptualize, construct, and enhance scalable data platforms that facilitate analytics, ecommerce, logistics, and marketing efforts. This position will involve creating robust data pipelines, upgrading the data infrastructure, and guaranteeing high-quality, reliable data solutions within an AWS environment. The ideal candidate possesses strong expertise in Python, SQL, Spark, Airflow, and cloud-based data architectures, as well as exceptional communication skills and a collaborative approach.

• **Responsibilities**

• - Conceptualize, develop, and uphold scalable data pipelines for analytics, ecommerce, logistics, and marketing.

• - Enhance and sustain the organization's data infrastructure and tools, including Redshift/Snowflake, Airflow, and Fivetran.

• - Design data processing systems capable of managing complex data flows and extensive datasets.

• - Create reliable, efficient, and cost-effective data solutions within an AWS environment.

• - Maintain high standards of data quality through automation and established engineering practices.

• - Improve platform performance, resilience, scalability, and operational costs.

• - Work closely with software engineers, analysts, and business stakeholders.

• - Guide engineers and analysts on data engineering best practices.

• - Engage in architectural discussions and technical decision-making.

⛳️ Requirements

• **Must Have**

• - Over 4 years of experience as a Data Engineer working with contemporary data technologies.

• - Strong expertise in **Python** and **SQL**.

• - Experience with processing large-scale datasets.

• - Practical experience with **Apache Spark** and **Apache Airflow**.

• - Background in designing and architecting data processing systems in **AWS**.

• - Familiarity with **Redshift** and/or **Snowflake**.

• - Knowledge of **Fivetran** or similar data ingestion tools.

• - Strong comprehension of data quality, automation, and best practices in data engineering.

• - Excellent communication and interpersonal abilities.

• **Nice to Have**

• - Experience with streaming technologies such as **Kafka** or **AWS Kinesis Firehose**.

• - Understanding of **Docker** and/or **Kubernetes**.

• - Familiarity with **Ruby** or **R**.

• - Experience in building or migrating a Data Warehouse.

• - History of leading projects or mentoring technical teams.

🏝️ Benefits

• A stable, long-term contract. Continuous training. Private health insurance. Flexible schedule. Work alongside some of the most skilled software engineers in Latin America and the US, tackling challenging work and creating world-class software for clients in the US and globally.

• At Devsu, we are committed to fostering an environment where you can excel both personally and professionally. By joining our team, you will benefit from:

• A stable, long-term contract with avenues for career advancement.

• Private health insurance.

• A remote-friendly culture that encourages work-life balance.

• Ongoing training, mentorship, and learning programs to keep you ahead in the industry.

• Complimentary access to AI training resources and cutting-edge AI tools to enhance your daily tasks.

• A flexible Paid Time Off (PTO) policy along with paid holidays.

• Engaging, world-class software projects for clients in the US and Latin America.

• Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment.

• Join Devsu and experience a workplace that values your growth, supports your well-being, and empowers you to make a global impact.