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Metro-based, early-mid generalist data role with broad skillset increases candidate competition.
Data integration, SQL, and orchestration skills are broadly transferable across industries, lowering background sensitivity.
Explicit 1–4 years plus required ETL, scheduling, and SQL skills create moderate shortlisting filters.
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Own the continuous monitoring, troubleshooting, and root cause analysis of data loading processes in production to ensure data accuracy and system reliability.
Deploy product updates and implement system integrations aligned with customer needs and internal quality standards.
Maintain clear documentation of data operations procedures and support cross-functional collaboration for effective incident management.
1 to 4 years of experience in large data integration and data warehousing environments with operations or software engineering roles.
Proficiency in data load monitoring tools, Unix, SQL, Shell scripting; Python experience optional but beneficial.
Familiarity with handling diverse data sources (Flat files, Excel, Access, Oracle/Hadoop, Azure, GCP, AWS) and job scheduling tools like Control-M or Airflow.
Bachelor’s degree in computer science, engineering, or relevant field preferred; ready to work in a 24x7 environment.
Experienced in monitoring and maintaining ETL processes with a hands-on approach to data validation and anomaly troubleshooting.
Capable of working effectively in cross-functional teams to identify operational enhancements and implement solutions.
Comfortable working in dynamic environments requiring accountability for end-to-end data operations and incident response.