At InfyStrat, we are on the lookout for an innovative and skilled Data Engineer to join our dynamic team. In this position, you will be responsible for building and maintaining our data architecture, ensuring that our data is accessible, reliable, and timely. You will leverage your expertise to design robust data pipelines and optimize data flows to support analytical and operational needs across the organization. Collaborating with data analysts, data scientists, and other stakeholders, you will gather requirements to create scalable data solutions that drive business intelligence and insights. If you have a passion for data and enjoy tackling complex challenges, we want to hear from you!

Core Responsibilities

• Design, develop, and maintain data pipelines to support ETL processes.
• Ensure data quality and integrity across various data sources and systems.
• Collaborate with cross-functional teams to identify data requirements and create data models.
• Utilize big data technologies for large-scale data processing.
• Monitor and troubleshoot performance issues related to data processes.
• Stay updated on the latest technologies and best practices within the data engineering field.

Requirements

As an Architecture and Research Engineer focusing on AWS serverless and Autonomous Operations or AI-Driven technologies, you will play a pivotal role in advancing our technological capabilities. This position requires innovative thinking and a passion for exploring new solutions that leverage the power of serverless architectures and autonomous operations. You will collaborate with cross-functional teams to conceptualize and design scalable and efficient systems based on cloud-native technologies.

Requirements

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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.

As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

InfyStrat is looking for a proficient Data Engineer to strengthen our data team. In this role, you will be integral in designing and implementing data pipelines that facilitate the efficient extraction, transformation, and loading (ETL) of data across various platforms. You will collaborate with data analysts, scientists, and business units to provide reliable and accurate datasets to drive decision-making processes. The ideal candidate should possess a combination of technical proficiency and creativity to solve complex data challenges. We foster a culture of innovation at InfyStrat, where the contributions of our team members are essential to transforming our data into valuable insights. Join us to help build data solutions that empower our business growth.

Key Responsibilities

• Design, implement, and manage ETL processes to collect and transform data from diverse sources.
• Develop and maintain data models, ensuring they meet business needs and performance requirements.
• Optimize database performance and troubleshoot data-related issues.
• Collaborate with stakeholders to identify data needs and develop solutions accordingly.
• Implement data quality monitoring and validation to maintain data integrity.
• Keep up with industry trends and emerging technologies to continually enhance data engineering practices.

Requirements

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that supports our clients in improving performance and efficiency. Insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities our solutions leverage or can be directly embedded in our client’s system topologies.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We're looking for a Senior Front-End Engineer with experience in React, someone who is curious, proactive, and passionate about building high-quality digital solutions. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Technology Stack

InfyStrat is searching for a skilled Snowflake + Metallion Developer to join our data analytics team. In this role, you will be responsible for designing and implementing data solutions using Snowflake data warehousing technology integrated with Metallion. You will collaborate with data engineers, data analysts, and stakeholders to ensure data integrity and facilitate efficient data-driven decision-making. The ideal candidate will have a strong technical background in data warehousing and analytics, with hands-on experience in Snowflake and Metallion. If you are passionate about leveraging data technologies to drive business success, we want to hear from you!

Responsibilities

• Design, build, and maintain scalable data pipelines using Snowflake.
• Integrate and optimize Snowflake solutions with Metallion for enhanced data analytics.
• Collaborate with cross-functional teams to define and manage data requirements.
• Ensure data quality, security, and compliance across data solutions.
• Monitor system performance and troubleshoot issues related to data processing.
• Provide documentation and training to stakeholders on data platform capabilities.
• Stay current with the latest developments in Snowflake and Metallion technologies.

Requirements

Job Description

Contract Period - 6 months extended

Role:Cloud Engineer

Experience: 4+ Years

Must have skills:

∙Strong understanding of IT infrastructure and operations.

∙Proficiency in Cloud hosting techniques.

∙Programming skills (e.g., Python, Java).

∙Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP).

∙Strong problem-solving and analytical skills.

∙LLM hosting and operations

∙Managing DevOps

Good to have Skills:

∙Ruby on Rails

∙Python

∙Kubernetes, Docker

∙Java

∙Nvidia H200 GPU handling

∙Azure DevOps

∙Azure Cosmos DB

∙Docker & Kubernetes containerization

Key responsibilities:

∙Assessing technology and preparing for cloud transformation

∙Optimizing the architecture before, during, or after cloud migrations

∙Developing systems for the cloud

∙Looking after cloud governance

∙Operating databases on the cloud

∙Implementing measures for cloud security

∙Managing and optimizing the use of cloud resources

USP of role: Exclusive experience of hyperscale cloud computing involving huge interaction with

partners, customer business, IT, and other stakeholders.

InfyStrat is seeking an experienced AI Platform Architect to join our innovative team. In this role, you will be responsible for the design, architecture, and implementation of AI platforms that drive data analysis and machine learning initiatives across our organization. You will work closely with data scientists, engineers, and business stakeholders to define AI strategies and ensure the successful deployment of AI solutions. The ideal candidate will have a strong background in AI technologies, cloud computing, and data architecture. We value creativity, strategic thinking, and a passion for pushing the boundaries of what technology can achieve. If you are looking to make a significant impact through AI and data-driven solutions, we invite you to apply.

About Jobgether

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.

One of our companies is currently looking for a HPC Engineer, AI and Data in the United States.

This role is ideal for a highly skilled engineer with deep experience in high-performance computing, AI, and software development. You will play a key role in integrating advanced AI technologies into engineering simulation workflows (CAE), optimizing performance, and solving complex computing challenges. As part of a fast-paced and innovative environment, you’ll collaborate with developers and clients to deliver tailored solutions and cutting-edge advancements in AI and HPC. You’ll also support product development efforts and help shape the future of AI applications in engineering. This position requires strong technical expertise, initiative, and a passion for continuous learning.

Accountabilities:

About Jobgether

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.

One of our companies is currently looking for a QA Engineer II in USA.

As a QA Engineer II, you will play a pivotal role in ensuring the quality and reliability of software by writing test cases, conducting automated tests, and working within an Agile Scrum team. You will collaborate with various departments to assess software requirements, test new features, and ensure compliance with regulations like HIPAA and SOX. This role offers the chance to work with cutting-edge technologies, providing an opportunity for both professional and technical growth in a dynamic, healthcare-focused environment.

Accountabilities: