Data Engineer - Information Technology | Indus Hospital

Further Details

This Data Engineer position at Indus Hospital involves designing, building, and maintaining batch and change-capture ingestion pipelines from operational databases. The role requires implementing orchestrated workflows for data transformation and promotion between lakehouse layers, ensuring pipelines are observable and recoverable. Explore these career opportunities with competitive benefits. You will manage data quality, reconciliation, and operational aspects, contributing to a governed analytical data platform.

Data Engineer Opportunities at Indus Hospital

Indus Hospital is actively seeking a dedicated Data Engineer to enhance its Information Technology department. This role is pivotal in constructing and managing a sophisticated on-premises analytical data platform. The objective is to consolidate clinical and operational data from numerous hospital locations into a secure, governed lakehouse environment, encompassing raw, curated, and serving layers. Successful candidates will concentrate on developing efficient data pipelines, ensuring the integrity and reliability of data, and overseeing platform operations to transform raw information into actionable, analysis-ready datasets. This position offers a significant chance to contribute to a vital healthcare data infrastructure project.

The core responsibilities include designing, building, and maintaining robust data ingestion pipelines, both batch and change-capture, from various operational databases across multiple hospital sites. You will implement orchestrated workflows for data extraction, landing, transformation, and promotion between different lakehouse layers, ensuring all pipelines are observable and recoverable. A key aspect of this role involves managing data quality, performing reconciliations, and handling operational tasks to maintain a high standard of data governance and usability within the platform.

• Job Title: Data Engineer
• Department: Information Technology
• Experience: 1–4 years in data engineering, backend data pipelines, or related software/data roles
• Education: Bachelor's degree in Computer Science
• Location: Pakistan
• Application Deadline: 30-Aug-2026

Skills

• Data ingestion and platform pipeline development
• Building and maintaining batch and change-capture ingestion
• Implementing orchestrated workflows for data transformation
• Ensuring pipeline idempotency, observability, and recoverability
• Managing lakehouse layers (raw to curated)
• Implementing validation, cleansing, and typing using transformation-as-code
• Supporting slowly changing history for key entities
• Applying configuration-driven pipeline definitions
• Implementing logic for cross-site identity and data linking
• Maintaining bridge and reference structures with audit trails
• Running and automating reconciliation between source systems and platform copies
• Responding to pipeline failures and data drift
• Contributing to schema change handling
• Monitoring service levels via operational dashboards
• Maintaining technical runbooks and pipeline documentation
• Partnering with Analytics Engineers on catalog entries and metadata
• Supporting data stewards with technical fixes

Duties and Responsibilities:

• Design, build, and maintain batch and change-capture ingestion from operational databases across multiple sites
• Implement orchestrated workflows for scheduled extraction, landing, transformation, and promotion between lakehouse layers
• Ensure pipelines are idempotent, observable, and recoverable (retries, checkpoints, replay where appropriate)
• Work with database administrators on read-only access, change-log readiness, and safe extract windows
• Manage immutable raw landing and curated (silver) datasets following medallion-style layering
• Implement validation, cleansing, typing, and conformed models using transformation-as code practices
• Support slowly changing history for key demographic and reference entities where attributes change over time
• Apply configuration-driven pipeline definitions (declarative specs reviewed in version control) rather than one-off scripts per table
• Implement logic to unify records across sites (e.g
• Patients, providers, facilities) using defined matching rules and steward review for ambiguous cases
• Maintain bridge and reference structures that map source identifiers to enterprise identifiers with full audit trail
• Run and automate reconciliation between source systems and platform copies (counts, keys, samples, freshness)
• Respond to pipeline failures and data drift using runbooks and escalation paths
• Contribute to schema change handling (additive vs breaking changes) with documentation and alerts
• Monitor service levels (lag, success rate, data freshness) via operational dashboards
• Maintain technical runbooks, pipeline documentation, and change records on the same day as changes
• Partner with the Analytics Engineer on catalog entries, data dictionary fields, and lineage metadata
• Support clinical and operational data stewards with technical fixes; business decisions on duplicates and definitions stay with stewards
• Maintain by IT - Indus Hospital

How to apply

• 💼 Prepare Your Application: Ensure you have your updated Curriculum Vitae (CV) ready.
• 🎓 Educational Proof: Have your Bachelor's degree certificate in Computer Science available.
• ⏳ Experience Documentation: Gather evidence of your 1-4 years of experience in data engineering, backend data pipelines, or closely related software/data roles.
• 📝 Review Requirements: Carefully read through all the job responsibilities and required skills to ensure a good fit.
• 👉 Submit Online: Visit the Indus Hospital job portal to submit your application. The direct link is provided below.
• 📌 Application Deadline: All applications must be submitted by 30-Aug-2026. Late submissions will not be considered.
• 🌐 Official Portal: Apply through the official Indus Hospital job portal for this exciting career opportunity.

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