Back
Mid-level metro data role with common stack increases candidate density and competition.
Data operations skills transfer across industries but tool and pipeline experience creates moderate domain specificity.
Explicit 4-6 years requirement plus specific Airflow/Control-M, SQL, and Unix skillset raises strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own monitoring and troubleshooting of data loading processes in production to ensure data accuracy and operational reliability.
Perform root cause analysis and implement preventive measures to minimize data load failures and anomalies.
Collaborate with developers and cross-functional teams to deploy product updates and maintain data integration workflows.
4-6 years of experience in large data integration and data warehousing environments with exposure to operational or software engineering roles.
Proficient with Unix, SQL, Shell scripting; experience with Python is optional but preferred.
Experience with data load monitoring tools and job scheduling frameworks such as Control-M or Airflow.
Willingness to work in a 24x7 operational environment and located in or willing to work hybrid model from Whitefield, Bangalore.
Experienced in building or maintaining ETL processes and automated workflows for data extraction, loading, and validation.
Strong problem-solving skills demonstrated through diagnosing and resolving data loading issues in production environments.
Comfortable working with diverse data sources (flat files, databases like Oracle/Hadoop, cloud platforms like Azure/GCP/AWS) and collaborating in cross-functional teams.