Our team is looking for a highly qualified Systems Integration Engineer. As a systems integration engineer, you will be in charge of planning, producing, testing, and deploying complex software systems for our clients.

Your role will involve working with clients, software developers, and other stakeholders to ensure that our software products satisfy the client's demands and integrate seamlessly with their existing systems.

Responsibilities

• Design, develop, test, and implement complex software systems for our clients.
• Collaborate with clients, software developers, and other stakeholders to identify system requirements and ensure that our software products meet those requirements.
• Develop and maintain technical documentation related to system integration.
• Provide technical guidance and support to developers and other team members.
• Investigate and fix technical problems with system integration.
• Ensure that software integration with clients' current systems is seamless.
• Keep up-to-date with emerging technology and market developments connected to system integration.
• Take part in quality control tasks such as code reviews.
• Identify opportunities for process improvement and implement those improvements.
• Communicate effectively with team members, clients, and other stakeholders.

Requirements

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Tiger Analytics is seeking an experienced Senior Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.

Key Responsibilities:

* GenAI Infrastructure: Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications.

* Vector Foundations: Implement and optimize vector search capabilities using Amazon OpenSearch Serverless or specialized vector engines for RAG (Retrieval-Augmented Generation).

* Serverless Data Engineering: Build highly scalable, event-driven ETL pipelines using AWS Lambda, AWS Glue, and Amazon Kinesis.

* Modern Data Stack: Manage large-scale data lakehouses leveraging Amazon S3, AWS Lake Formation, and Amazon Redshift.

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Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

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