General Position Information

Reports Directly To (Title)

Director or Senior Director, Business Operations

Matrix Reports To (Title)

As applicable based on functional alignment

Direct Reports

Individual contributor; no direct reports

Position Summary

The Data Integration Engineer is responsible for developing, loading, extracting, validating, and supporting data integrations using Microsoft Fabric and related data platforms. This mid-level role focuses on hands-on delivery of reliable member-facing data movement processes, including ingestion and extraction from Fabric, under the guidance of senior engineers, architects, and technical leads.

This position partners with members, analysts, product owners, and engineering teams to understand data requirements, implement approved integration patterns, troubleshoot data issues, and support secure, accurate, and performant data solutions for analytics, reporting, and operational needs.

Responsibilities





• Work with members and internal stakeholders to understand data integration requirements and support extraction and loading activities using Microsoft Fabric.
• Develop, test, and support assigned data loads, data extracts, transformations, and validation routines for member-facing integration needs.
• Create and maintain SQL and T-SQL scripts, stored procedures, views, and data validation queries that support reliable data ingestion, extraction, and reconciliation.
• Use Microsoft Fabric capabilities to move, transform, store, and expose data for downstream analytics, reporting, and operational use cases.
• Perform SQL Server and T-SQL performance tuning for assigned work, including troubleshooting slow queries, reviewing execution plans, and escalating complex bottlenecks when needed.
• Investigate and resolve data quality, latency, performance, and integration issues across source systems, SQL Server settings, and Fabric workloads.
• Follow established integration design patterns, data standards, security

📌 Senior Data Engineer Hyderabad
🏢 HCA Healthcare - India
📍 Hyderabad