Lead I - Airflow Migration Developer
Actively Reviewing the ApplicationsUST
Bengaluru, Karnataka, India
Full-Time
On-site
Posted 5 months ago
•
Apply by May 5, 2026
Job Description
Role Description
Job Summary:
We are seeking an experienced
Airflow Migration Developer
to lead the migration of job scheduling processes from
Autosys
to
Apache Airflow
. The ideal candidate will have a strong background in batch processing, workflow orchestration, and cloud deployment, particularly on
AWS
. This role involves close collaboration with application, data, and cloud engineering teams to ensure a seamless transition, robust scheduling, and high availability in production environments.
Key Responsibilities
Analyze existing Autosys job definitions, dependencies, and workflows.
Design and implement equivalent Apache Airflow DAGs that maintain or improve scheduling efficiency and SLAs.
Integrate Airflow with MarkitEDM and other downstream systems.
Ensure proper logging, monitoring, and ing aligned with SLA and operational standards.
Collaborate with cloud engineering and application teams to deploy workflows in AWS environments (e.g., ECS, Lambda).
Create detailed documentation for migration logic, configurations, and operational runbooks.
Support User Acceptance Testing (UAT) and manage production rollout activities.
Mandatory Skills
Strong hands-on experience with Apache Airflow, including DAG design and scheduling.
Proficient with Autosys job scheduling and batch job management.
Proficiency in Python for scripting and workflow orchestration.
Solid experience with AWS services: ECS, S3, Lambda, CloudWatch.
Familiarity with MarkitEDM or similar data management platforms.
Knowledge of CI/CD pipelines and DevOps practices.
Strong debugging, problem-solving, and performance tuning skills.
Excellent communication and documentation capabilities.
Good-to-Have Skills
Experience in financial services or enterprise-scale data environments.
Knowledge of Airflow deployment in containerized environments (e.g., Docker, Kubernetes).
Awareness of audit, compliance, and security requirements in batch processing.
Familiarity with infrastructure automation and Infrastructure as Code (IaC) tools.
Skills
Apache Airflow,Autosys job scheduling ,Python,Markit Edm
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