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Inviting applications for the role of Principal Consultant- Senior Data Engineer – Snowflake, AWS, Cortex AI & Horizon Catalog
Role Summary :
We are seeking an experienced Senior Data Engineer with deep expertise in modernizing Data & Analytics platforms on Snowflake, leveragingAWS services, Cortex AI, and Horizon Catalog for high-performance, AI-driven data management. The role involves designing scalable data architectures, integrating AI-powered automation, and optimizingdata governance, lineage, and analytics frameworks.
Key Responsibilities :
Architect & modernize enterprise Data & Analytics platforms on Snowflake, utilizingAWS, Cortex AI, and Horizon Catalog.
Design and optimizeSnowflake-based Lakehouse architectures, integrating AWS services (S3, Redshift, Glue, Lambda, EMR, etc.).
Leverage Cortex AI for AI-driven data automation, predictive analytics, and workflow orchestration.
Implement Horizon Catalog for enhanced data lineage, governance, metadata management, and security.
Develop high-performance ETL / ELT pipelines, integrating Snowflake with AWS and AI-powered automation frameworks.
Utilize Snowflake’s native capabilities like Snowpark, Streams, Tasks, and Dynamic Tables for real-time data processing.
Establish data quality automation, lineage tracking, and AI-enhanced data governance strategies.
Collaborate with data scientists, ML engineers, and business stakeholders to drive AI-led data initiatives.
Continuously evaluate emerging AI and cloud-based data engineering technologies to improve efficiency and innovation.
Qualifications we seek in you!
Minimum Qualifications
experience in Data Engineering, AI-powered automation, and cloud-based analytics.
Expertise in Snowflake (Warehousing, Snowpark, Streams, Tasks, Dynamic Tables).
Strong experience with AWS services (S3, Redshift, Glue, Lambda, EMR).
Deep understanding of Cortex AI for AI-driven data engineering automation.
Proficiency in Horizon Catalog for metadata management, lineage tracking, and data governance.
Advanced knowledge of SQL, Python, and Scala for large-scale data processing.
Experience in modernizing Data & Analytics platforms and migrating on-premises solutions to Snowflake.
Strong expertise in Data Quality, AI-driven Observability, and ModelOps for data workflows.
Familiarity with Vector Databases & Retrieval-Augmented Generation (RAG) architectures for AI-powered analytics.
Excellent leadership, problem-solving, and stakeholder collaboration skills.
Preferred Skills :
Experience with Knowledge Graphs (Neo4J, TigerGraph) for structured enterprise data systems.
Exposure to Kubernetes, Terraform, and CI / CD pipelines for scalable cloud deployments.
Background in streaming technologies (Kafka, Kinesis, AWS MSK, Snowflake Snowpipe).
Why Join Us?
Lead Data & AI platform modernization initiatives using Snowflake, AWS, Cortex AI, and Horizon Catalog.
Work on cutting-edge AI-driven automation for cloud-native data architectures.
Competitive salary, career progression, and an opportunity to shape next-gen AI-powered data solutions.
Why join Genpact?
Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
Make an impact – Drive change for global enterprises and solve business challenges that matter
Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters : Up.
Let’s build tomorrow together.
Principal Consultant • hyderabad, India