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Mid-level metro role with broad data stack and generalist expectations raises applicant competition.
Skills (Airflow, ETL, SQL, Unix) are broadly transferable across industries.
Explicit 4–6 years plus mandatory Airflow/Control-M, SQL, Unix and scripting make filters stringent.
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Own end-to-end monitoring and troubleshooting of data loading processes in production to ensure data accuracy and system reliability.
Conduct root cause analysis and implement preventive measures for data load failures, improving operational stability.
Collaborate with engineering teams to deploy product updates and maintain documentation of data operations procedures.
4-6 years work experience in large data integration and data warehousing environments.
Experience as an Operations engineer or similar software engineering role.
Technical skills: Unix, SQL, Shell scripting mandatory; Python optional but preferred.
Location requirement: Whitefield, Bangalore; hybrid working model.
Experienced in managing complex data pipelines and operational workflows in 24x7 production environments.
Demonstrates strong ownership by proactively identifying and resolving data load issues.
Experienced with scheduling tools like Control-M or Airflow, and handling diverse data sources (flat files, Excel, Oracle, Hadoop, cloud platforms).