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 modern 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 strong 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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