Data DevOps Engineer

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November 13

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The Leaflet

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API

The Leaflet is an open-source JavaScript library for building mobile-friendly interactive maps. It is lightweight (around 42 KB), designed for simplicity, performance and usability, and provides core mapping features such as tile layers, markers, vector layers, popups, and interaction handlers. Leaflet is highly extensible via a large plugin ecosystem, well-documented, and maintained by a broad community of contributors and organizations.

11 - 50 employees

🔌 API

📋 Description

• Design, build, and optimize data pipelines using Airflow, DBT, and Databricks. • Monitor and improve pipeline performance to support real-time and batch processing. • Manage and optimize AWS-based data infrastructure, including S3 and Lambda, as well as Snowflake. • Implement best practices for cost-efficient, secure, and scalable data processing. • Enable and optimize AWS SageMaker environments for ML teams. • Collaborate with ML, Data Science, and Reporting teams to ensure seamless data accessibility. • Implement data pipeline monitoring, alerting, and logging to detect failures and performance bottlenecks. • Build automation to ensure data quality, lineage tracking, and schema evolution management. • Participate in incident response, troubleshooting, and root cause analysis for data issues. • Advocate for DataOps best practices, driving automation, reproducibility, and scalability. • Document infrastructure, data workflows, and operational procedures.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience. • 3+ years of experience in DevOps, DataOps, or similar. • Proficiency in key technologies, including Airflow, Snowflake, and SageMaker. • Certifications in AWS/Snowflake/other technologies a plus. • Excellent communication and interpersonal skills. • Ability to work in a fast-paced environment and manage multiple priorities effectively.

🏖️ Benefits

• Professional development opportunities