IT Data Engineer

5 - 10 years

7 - 12 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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The IT Data Engineer plays a critical role in enabling data-driven decision-making across the organization by designing, building, and maintaining robust data infrastructure. This position is responsible for developing scalable data pipelines, managing databases and data warehouses, and ensuring the integrity, accessibility, and quality of enterprise data. Through thoughtful architecture and efficient processing systems, the Data Engineer supports analytical initiatives and empowers teams with reliable, well-organized data assets.

Key Responsibilities

Design, build, and maintain scalable data pipelines to extract, transform, and load data from diverse sources into centralized repositories (e. g. , data warehouses, data lakes)

Develop and manage databases, data warehouses, and data lakes to support analytics and reporting needs

Write and maintain efficient code and scripts for data processing, transformation, and manipulation

Ensure data quality, consistency, and reliability across all systems and pipelines

Implement and uphold data security, privacy, and access controls in compliance with governance standards

Collaborate with cross-functional teams to deliver data solutions aligned with business objectives

Monitor and optimize the performance, scalability, and cost-efficiency of data infrastructure

Create and maintain clear documentation for data architecture, processes, and workflows

Stay current with emerging data engineering technologies and recommend improvements to existing systems

Design and implement data models and schemas to support analytical and machine learning use cases

Build curated datasets and data marts to enable self-service analytics for business users

Establish monitoring and alerting systems to proactively detect and resolve data pipeline issues

Support machine learning operations by collaborating with data scientists on feature engineering and model deployment

Leverage cloud platforms (e. g. , AWS, Azure, GCP) to build and maintain modern, scalable data infrastructure

Contribute to data governance initiatives by ensuring compliance with internal policies and external regulations







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