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Multinational brand and Pune metro increase competition; niche cloud/data skills moderately limit applicant pool.
Cloud and Airflow skills transfer across industries, though financial-data context adds moderate domain bias.
No explicit years requirement and many skills listed as assets indicate low shortlisting strictness.
Configure, operate, and monitor a high-volume batch data delivery platform built on Google Cloud focusing on accuracy and reliability.
Deploy and manage data pipelines using Apache Airflow, extending standard DAG templates for consistent and rapid deployment.
Perform data quality checks, resolve complex configuration and scheduling issues, and support client-facing data delivery processes.
Bachelor's degree in Computer Science, Information Technology, or equivalent.
Experience with data processing workflows, configuration files (e.g., YAML), and cloud concepts, preferably Google Cloud Platform (GCP).
Familiarity with API testing tools and batch delivery systems.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing and troubleshooting data pipelines, especially using Apache Airflow on GCP.
Strong expertise in configuring cloud-based data processing environments with focus on security, data quality, and process improvement.
Capable of addressing client-impacting technical issues and collaborating across teams to enhance operational outcomes.