Data Engineer Hyderabad

Data Engineer Hyderabad

02 Oct
|
Naukri Assist
|
Hyderabad

02 Oct

Naukri Assist

Hyderabad

Data Engineer – Identity Resolution & Consent Data

Location: Bangalore / Hyderabad
Experience: 5–7 Years
Department: Data & Analytics
Role Focus: Data Engineering | Identity Resolution | Consent & Privacy Data

Key Responsibilities
Design and manage Identity/Entity Resolution pipelines to unify customer/contact records from multiple systems.
Build matching, scoring, clustering, deduplication and golden-record/Customer 360 logic.
Develop and maintain scalable data pipelines using SQL, Snowflake, dbt and Python.
Integrate consent and preference data from OneTrust or similar Consent Management Platforms (CMP).
Connect consent signals with the correct customer identity across CRM and Marketing platforms.
Build data models supporting privacy regulations such as GDPR, CCPA/CPRA and CASL.
Define data-quality rules, source-system onboarding standards and field-mastering/survivorship logic.
Develop incremental dbt models and optimize pipelines as data volumes and source systems increase.
Automate data-quality checks, match validation and categorization using Python and AI/LLM tools.
Build testing,



monitoring and validation mechanisms to maintain reliable and auditable data pipelines.
Work closely with Privacy, Legal and Marketing teams on consent and identity-data requirements.

Must-Have Skills
5–7 years of Data Engineering / Privacy Engineering / Identity Resolution experience.
Robust hands-on SQL.
Experience with Snowflake or a similar cloud data warehouse.
Hands-on dbt, including incremental models/materialization.
Solid Python for data pipelines, automation and testing.
Experience/understanding of Identity Resolution / Entity Resolution, including matching, scoring and clustering.
Experience with OneTrust or another Consent Management Platform.
Understanding of GDPR, CCPA/CPRA, CASL and consent/privacy data.
Experience integrating data across CRM, Marketing Automation and other enterprise systems.
Exposure to AI tools/LLMs for data quality, categorization or automation.

Valuable-to-Have
Salesforce / Eloqua
Airflow
AWS
MDM / Customer 360 / Golden Record experience
JavaScript stored procedures
Experience working in a complex B2B enterprise data environmen

📌 Data Engineer Hyderabad
🏢 Naukri Assist
📍 Hyderabad

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