Role Summary We are seeking a dedicated Data Engineer for a 3-month part-time engagement (20 hours per week) to support enterprise data engineering and reporting modernization. The primary goal is to migrate daily scheduled reporting from a legacy Crystal Reports environment onto a modern Python/FastAPI web platform. Additional responsibilities include daily operational monitoring, legacy reporting maintenance, and web platform feature enhancements. All work is conducted in development and test environments.
Role Parameters
Term: 3 months (13 weeks / 260 total hours), with potential option to extend based on results.
Capacity: Part time, 20 hours per week.
Location: Remote / Offshore.
Schedule: Requires a daily 2-hour working overlap with US Central morning hours for team syncs and pairing.
Key Responsibilities
Scheduled Report Migration
Map and validate specs from Crystal Reports to the new web reporting platform.
Build and adjust specs including columns, filters, parameters, grouping, and dynamic date logic.
Perform value-parity verification (row counts, totals, spot values)



against live legacy outputs.
Configure platform schedules, output formats (Excel/PDF), and recipient delivery lists.
Execute parallel-run comparisons and document migration evidence.
Daily Operations & Monitoring
Triage daily service-account inbox failure notices and flag failed automation steps.
Monitor daily dataflow refreshes and rerun low-risk, reversible failed refreshes.
Review scheduler error logs and resolve database-logon errors using established procedures.
Execute validated report recipes for recurring customer production.
Legacy Report Maintenance & Runbooks
Perform Crystal Report modifications in dev/test (facility variants, parameter additions, formatting fixes).
Conduct template naming sweeps across report files.
Maintain report catalogs, inventories, and version-controlled source files.
Convert handoff notes into clear, stepwise technical runbooks.
Web Platform Enhancements
Imp

📌 Data Engineer (India)
🏢 atom systems private
📍 India