Data Pipeline Specialist

hace 3 semanas


Guadalajara, México Bebeedata A tiempo completo

As a Data Pipeline Specialist, you will be responsible for designing and implementing efficient data pipelines using Airflow, Python, and various data storage solutions.Key Responsibilities- Data Pipeline Development:- Design and build DAGs (TaskFlow, dynamic DAGs, deferrable operators) to manage data flow between systems.- Develop Python-based ETL/ELT pipelines for APIs, storage, Kafka, and databases.- Operational Excellence:- Ensure smooth operation of Airflow in Azure/Kubernetes with blue/green or canary releases.- Quality Assurance:- Implement data quality checks, unit tests, and CI/CD DAG validation to ensure reliability and accuracy.- Real-time Processing:- Build near–real-time event pipelines with proper schema management to support business decision-making.- Performance Optimization:- Model SQL/blob datasets with optimal partitioning and retention to improve query performance.- Incident Management:- Drive observability (metrics, logs, alerts, SLAs) and lead incident reviews to minimize downtime.- Security Best Practices:- Enforce security best practices: IAM, secrets, RBAC, PII handling, data contracts to protect sensitive information.- Infrastructure Management:- Build CI/CD pipelines, containerize with Docker, and use Terraform/Helm for infrastructure as code.- Collaboration:- Collaborate with Android/backend teams on data interfaces and documentation to ensure seamless integration.Requirements- Experience: 8+ years in data/backend engineering with strong Python skills.- Airflow Experience: 2+ years with Airflow 2.X and advanced operators/hooks/scheduler tuning.- Data Storage: Experience with reliable large-scale ETL/ELT (batch + streaming) solutions like BigQuery/Redshift/Snowflake.- SQL and Data Modeling: Strong SQL and data modeling skills with experience in production-ready debugging, tuning, and monitoring.- Security and Compliance: Knowledge of RBAC, secrets management, OAuth/OIDC, and API gateways to ensure secure data exchange.- Communication and Documentation: Strong communication and documentation skills to collaborate effectively with cross-functional teams.



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