Data Platform Support Engineer

Location: Pune

Employment Type: full-time

Job Details

Mandatory Skills
• Hands-on experience with AWS services, especially AWS Glue, DynamoDB, S3, CloudWatch
• Strong SQL skills for data validation and troubleshooting (Aurora / Postgres / MySQL)
• Experience in monitoring batch or near-real-time data pipelines
• Ability to triage incidents, follow SOPs, and escalate appropriately
• Experience working in production support environments with SLAs
• Python: reading/debugging ETL scripts, making small fixes
• Clear written and verbal communication for incident updates and documentation

Primary Skills
• AWS Glue: job monitoring, reruns, backfills, basic troubleshooting
• CloudWatch Logs: log analysis and error identification
• Data validation & reconciliation between source and target systems
• Ticketing tools (Jira, ServiceNow, Freshservice, etc.)
• Understanding of source ingestion processing analytics data flows

Secondary / Good-to-Have Skills
• Experience with API-based data ingestion (REST, JSON payloads)
• Exposure to e-commerce platforms (BigCommerce, Shopify, etc.)
• Familiarity with analytics/reporting use cases (marketing, performance dashboards)
• Experience with on-call or extended-hours support
• Basic understanding of data architecture concepts (batch vs streaming, ETL/ELT)
• Knowledge of Git / version control for code review and fixes

Key Responsibilities
• Monitor AWS data pipelines and respond to alerts and reported data issues
• Perform SOP-based triage, Glue job reruns, and backfills
• Validate data freshness and completeness using SQL and logs
• Investigate non-SOP issues and apply L2 fixes in Python/Glue/configuration
• Coordinate with stakeholders and provide timely incident updates
• Maintain and improve SOPs, runbooks, and known-issue documentation
• Flexibility to work in 24x7 environment (Primarily in US business hours)