Job Description Summary
LI-Hybrid

Location: Hyderabad, India

Number of Openings: 4

Relocation Support: Yes

Imagine building the data foundations that power the next generation of artificial intelligence and digital innovation. As a Senior Data Engineer – Data & AI Platforms, you will play a pivotal role in designing and scaling enterprise-grade data platforms that enable advanced analytics, artificial intelligence, and business-critical insights. Working across cloud technologies, Snowflake, distributed processing, governance, and AI-enabled solutions, you'll transform complex data challenges into secure, high-performing, and reusable products. If you're passionate about contemporary data engineering, eager to work with cutting-edge technologies, and motivated by delivering real business impact, this is an chance to shape the future of data and AI at scale.

Job Description
Key Responsibilities
Design, build, and optimize scalable data pipelines using Amazon Web Services, Snowflake, Python, and Apache Spark.
Develop batch, event-driven,



and distributed data processing solutions for enterprise-wide data products.
Deliver reliable, high-performance data platforms that support analytics, artificial intelligence, and business insights.
Implement data quality frameworks, monitoring, error handling, metadata management, and lineage capabilities.
Enable solid governance through data cataloging, access controls, auditability, and compliance standards.
Support artificial intelligence and machine learning initiatives through feature engineering and data pipeline development.
Build reusable data assets and automation solutions that accelerate delivery and operational efficiency.
Apply engineering best practices including version control, continuous integration, automated testing, and code reviews.
Collaborate with product owners, architects, business stakeholders, and platform teams to deliver trusted data solutions.
Mentor engineers and contribute to e

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