Key Responsibilities
- Monitor production applications and respond to incidents according to defined procedures.
- Perform hands-on SQL queries to investigate and troubleshoot data-related issues.
- Use Python skills to support troubleshooting and analyze application or data processing issues.
- Investigate Google Cloud Dataflow issues and understand Airflow failures and logs.
- Work with GCP services, including BigQuery, Bigtable, Pub/Sub, and Cloud SQL.
- Understand ETL workflows and follow Standard Operating Procedures (SOPs) for data-related applications.
- Identify, document, escalate, and track production incidents until resolution.
- Collaborate with application, data, and infrastructure teams to resolve issues.
- Maintain incident records and follow IT service management processes.
- Follow shift handover procedures and ensure continuity of production support.
Required Skills and Qualifications
- Minimum 4 years of relevant experience in production support or a related technical role.
- Strong hands-on SQL querying skills, including:
- Filtering and retrieving data.
- INNER JOIN and LEFT JOIN operations, including NULL handling.
- UNION and set-based operations.
- Analytical and problem-solving queries.
- Python knowledge for troubleshooting, log analysis, and understanding data processing issues.
- Experience with GCP services such as BigQuery, Bigtable, Pub/Sub, and Cloud SQL.
- Understanding of ETL processes and data workflows.
- Ability to understand Dataflow troubleshooting requirements and Airflow failures and logs.
- Knowledge of incident management and IT service engineering processes.
- ServiceNow experience is preferred.
- Willingness and ability to work 24/7 rotational shifts, including night shifts.Key Responsibilities
- Monitor production applications and respond to incidents according to defined procedures.
Pay: ₹900,000.00 - ₹1,200,000.00 per year
Application Question(s):
- By applying, you agree that your resume and personal details may be stored securely for up to 2 years for recruitment purposes.
Work Location: Hybrid remote in Pune, Maharashtra
