3 Horizon Catalog Jobs

________________________________________ Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior 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, leveraging AWS 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 optimizing data governance, lineage, and analytics frameworks. Key Responsibilities: . Architect & modernize enterprise Data & Analytics platforms on Snowflake, utilizing AWS, Cortex AI, and Horizon Catalog. . Design and optimize Snowflake-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&rsquos 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&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Skill set Snowflake, AWS, Cortex AI, Horizon Catalog or Snowflake, AWS, (Cortex AI or Horizon Catalog) or Snowflake, Azure, Cortex AI, Horizon Catalog Or Snowflake, Azure, (Cortex AI or Horizon Catalog) Preferred Qualifications: Bachelors degree in Computer Science, Data Engineering, or a related field. Experience in data engineering, with at least 3 years of experience working with Snowflake. Proven experience in Snowflake, Cortex AI/ Horizon Catalog focusing on data extraction, chatbot development, and Conversational AI. Strong proficiency in SQL, Python, and data modeling. Experience with data integration tools (e.g., Matillion, Talend, Informatica). Knowledge of cloud platforms such as AWS or Azure, or GCP. Excellent problem-solving skills, with a focus on data quality and performance optimization. Strong communication skills and the ability to work effectively in a cross-functional team. Proficiency in using DBT's testing and documentation features to ensure the accuracy and reliability of data transformations. Understanding of data lineage and metadata management concepts, and ability to track and document data transformations using DBT's lineage capabilities. Understanding of software engineering best practices and ability to apply these principles to DBT development, including version control, code reviews, and automated testing. Should have experience building data ingestion pipeline. Should have experience with Snowflake utilities such as SnowSQL, SnowPipe, bulk copy, Snowpark, tables, Tasks, Streams, Time travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures and UDFs, Snowsight. Should have good experience in implementing CDC or SCD type 2 Proficiency in working with Airflow or other workflow management tools for scheduling and managing ETL jobs. Good to have experience in repository tools like Github/Gitlab, Azure repo

Skill set Snowflake, AWS, Cortex AI, Horizon Catalog or Snowflake, AWS, (Cortex AI or Horizon Catalog) or Snowflake, Azure, Cortex AI, Horizon Catalog Or Snowflake, Azure, (Cortex AI or Horizon Catalog) Preferred Qualifications: Bachelors degree in Computer Science, Data Engineering, or a related field. Experience in data engineering, with at least 3 years of experience working with Snowflake. Proven experience in Snowflake, Cortex AI/ Horizon Catalog focusing on data extraction, chatbot development, and Conversational AI. Strong proficiency in SQL, Python, and data modeling. Experience with data integration tools (e.g., Matillion, Talend, Informatica). Knowledge of cloud platforms such as AWS or Azure, or GCP. Excellent problem-solving skills, with a focus on data quality and performance optimization. Strong communication skills and the ability to work effectively in a cross-functional team. Proficiency in using DBT's testing and documentation features to ensure the accuracy and reliability of data transformations. Understanding of data lineage and metadata management concepts, and ability to track and document data transformations using DBT's lineage capabilities. Understanding of software engineering best practices and ability to apply these principles to DBT development, including version control, code reviews, and automated testing. Should have experience building data ingestion pipeline. Should have experience with Snowflake utilities such as SnowSQL, SnowPipe, bulk copy, Snowpark, tables, Tasks, Streams, Time travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures and UDFs, Snowsight. Should have good experience in implementing CDC or SCD type 2 Proficiency in working with Airflow or other workflow management tools for scheduling and managing ETL jobs. Good to have experience in repository tools like Github/Gitlab, Azure repo