Apache Airflow SME

Responsibilities

• Design, develop, and manage data platforms using Apache Airflow
• Build, orchestrate, and optimize end-to-end data pipelines
• Architect scalable and reusable data workflow frameworks
• Implement best practices for workflow orchestration, monitoring, and alerting
• Work with data engineers, analysts, and stakeholders to deliver data solutions
• Optimize performance, reliability, and cost of data pipelines
• Troubleshoot and resolve issues in data workflows and platform components
• Ensure data governance, security, and compliance standards
• Required Skills
• Strong experience with Apache Airflow (SME level)
• Proven experience in building data platforms (not just DAG development)
• Strong knowledge of Python and SQL
• Experience with cloud platforms (AWS / Azure / GCP)
• Understanding of data engineering concepts (ETL, ELT, data lakes, warehouses)
• Experience with CI/CD pipelines and DevOps practices
• Hands-on experience with monitoring/logging tools
• Preferred Skills
• Experience with tools like Spark, Kafka, dbt
• Knowledge of containerization (Docker, Kubernetes)
• Exposure to modern data stack architectures
• S YNECHRON'S DIVERSITY & INCLUSION STATEMENT
• All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law .
• Candidate Application Notice

Benefits

Additional Information

Job Title: Apache Airflow SME / Data Platform Engineer Role Summary We are looking for an experienced Apache Airflow SME / Data Platform Engineer who has hands-on experience in designing and building scalable data platforms, not just writing DAGs. The ideal candidate will play a key role in architecting, developing, and optimizing data pipelines and platform infrastructure.

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