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EXL
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Manager

Manager

5 years

|

0 Lacs

Gurgaon Haryana India

Posted:14 hours ago| Platform:

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Skills Required

data model development integration pipeline design engineering support forecasting planning segmentation integrity versioning storage automation deployment etl sql python airflow spark azure aws architecture governance

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

The Data Engineer will be responsible for ensuring the availability, quality, and transformation of claims and operational data required for model development and integration. The role demands strong data pipeline design and engineering capabilities to support a scalable forecasting and capacity planning framework.

Key Responsibilities

Gather and process data from multiple sources including claims systems and operational databases.
Build and maintain data pipelines to support segmentation and forecasting models.
Ensure data integrity, transformation, and enrichment to align with modeling requirements.
Collaborate with the Data Scientist to provide model-ready datasets.
Support data versioning, storage, and automation for periodic refreshes.
Assist in deployment/integration of data flows into operational dashboards or planning tools.

Skills & Experience

5+ years of experience in data engineering or ETL development.
Proficiency in SQL, Python, and data pipeline tools (e.g., Airflow, dbt, Spark, etc.).
Experience with cloud-based data platforms (e.g., Azure, AWS, GCP).
Understanding of data architecture and governance best practices.
Prior experience working with insurance or operations-related data is a plus.

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