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Protocol Intelligence
Data-driven signals on your job's competitivenessJunior, metro location, and a generalist DevOps/data-ops title increase applicant competition density.
Data operations and DevOps skills (ETL, Airflow, scripting) transfer easily across industries.
Explicit 0–2 years and mandatory technical skills (Python, SQL, Git, scheduling tools) create moderate filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Monitor and manage data loading processes in production to identify and resolve errors or anomalies in real-time.
Develop and maintain automation scripts for data extraction, loading, validation, and visualization to support data integration.
Conduct root cause analysis of data issues and implement preventive measures, including incident management and stakeholder escalation.
Minimum Requirements
0-2 years experience in large data integration and data warehousing environments.
Experience as a DevOps engineer or similar software engineering role.
Proficiency in Python, Unix, SQL, Shell scripting, Git, GitHub workflows, and use of scheduling tools like Control-M or Airflow.
Bachelor's degree in computer science, engineering, or relevant field preferred but not explicitly stated as mandatory; work location Bangalore, India.
Ideal Candidate Profile
Familiarity with handling data from diverse sources including flat files, Excel, Oracle, Hadoop, Azure, GCP, AWS environments.
Experience building or maintaining ETL processes and working knowledge of databases and SQL.
Comfortable working in a 24x7 environment requiring prompt incident response and collaboration with cross-functional teams.