Data Engineer I - Transparency Data Operations

Overview

Data Engineer supporting Transparency Data Operations by building, operating, and improving pipelines that capture, validate, reconcile, and deliver reportable interaction data accurately and on time.

What you'll do

• Operate and enhance data ingestion, transformation, validation, reconciliation, and delivery processes.
• Prepare Transparency data for downstream processing, analytics, certification, regulatory reporting, and publication.
• Translate reporting requirements and regulatory changes into scalable data solutions.
• Monitor data quality, completeness, timeliness, and operational controls.
• Investigate exceptions and drive remediation with stakeholders.
• Support market deployments, source-system changes, integrations, modernization, and automation.

What you'll need

• 1–4 years of experience in data engineering, data operations, software development, business intelligence, or a related role.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data/Analytics, or a related field.
• Experience supporting ETL/ELT pipelines, databases, cloud data solutions, and scheduled operational processes.
• Hands-on experience with SQL and Python.
• Experience with source-to-target validation, reconciliation, and automation.
• Experience with production support, root-cause analysis, reruns, releases, and change control.
• Ability to manage multiple priorities and support urgent production or reporting needs.

Nice to have

• Experience with AWS, Databricks, Oracle/PostgreSQL, and Power BI.
• Pharmaceutical, healthcare, compliance, Transparency Reporting, or master-data experience.

Details

• Location: Hyderabad, Telangana, India.