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 Data Scientist in United States.

This is a high-impact role on the Demand Analytics team, where you'll support marketing strategy through rigorous data analysis and machine learning. You will develop and maintain models that evaluate marketing performance and inform optimization decisions across channels. Collaborating closely with marketing and analytics stakeholders, you’ll shape strategies through experimentation, causal inference, and deep exploratory analysis. The ideal candidate brings a balance of technical expertise, curiosity, and strong communication to bridge data insights with actionable business decisions.

Accountabilities:

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.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Requirements

Key Responsibilities:

Data Integration:

Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools.

Support Data Modeling:

Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting requirements.

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 People Analytics Analyst in the United States.

This role offers an opportunity to shape the future of people data by building scalable reporting and analytics solutions that empower employee growth and strategic decision-making. As a People Analytics Analyst, you’ll play a key role in supporting HR programs, surfacing insights from large datasets, and delivering actionable reporting to business leaders. You'll partner with teams across the organization to provide data solutions that drive performance, equity, and engagement. If you’re passionate about analytics, systems, and driving change through data, this is your chance to make a measurable impact in a fast-paced environment.

Accountabilities:

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 several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.

Responsibilities

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 Software Engineer in the United States.

We are looking for a highly skilled Software Engineer to design, build, and optimize systems that drive decision-making and liquidity operations in a trading platform. You’ll collaborate closely with data scientists and researchers to implement complex forecasting models into scalable, low-latency systems. The role involves developing robust data pipelines, managing distributed systems, and maintaining structured trading records. If you're driven by data, performance, and systems architecture—and you're eager to work on cutting-edge, autonomous trading technology—this is an excellent opportunity to take your engineering skills to the next level.

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 Data Platform Lead in New York/Atlanta.

This role is ideal for a technical leader passionate about building robust, scalable data infrastructure to support real-time analytics, automation, and AI applications. As the Data Platform Lead, you’ll architect and guide the development of advanced data pipelines that integrate real-time and batch processing from various data sources, including IoT and EHR systems. You’ll collaborate closely with engineering, cloud, and healthcare technology teams to ensure data integrity, security, and performance across the platform. This is a mission-driven opportunity to reshape healthcare operations and patient outcomes through innovative data solutions.

Accountabilities:

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, 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 an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Snowflake.

Key Responsibilities:

InfyStrat is seeking a dedicated Data Engineer to join our data team and contribute to the development and maintenance of our robust data infrastructure. In this role, you will be responsible for designing, constructing, and optimizing data pipelines that ensure the seamless flow of data across our systems. You will work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide solutions that meet those requirements. The ideal candidate will have a strong background in data engineering principles and practices, along with experience in modern data processing tools and technologies. At InfyStrat, we believe in fostering a culture of innovation and collaboration, where your contributions will have a meaningful impact on our business and data strategy. If you are passionate about building data solutions and eager to grow your career, we invite you to apply.

InfyStrat is on the lookout for skilled and driven Data Engineers with expertise in Denodo to join our innovative data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data integration solutions that leverage Denodo’s data virtualization platform. Your role will be pivotal in transforming complex data into actionable insights, thereby empowering our stakeholders to make data-informed decisions. We are seeking candidates who are not only technically proficient but also enthusiastic about working with diverse datasets and developing efficient data pipelines. At InfyStrat, we value creativity, collaboration, and continuous learning. You will be part of a vibrant team that thrives on tackling challenges and driving the future of our data capabilities. If you are passionate about data engineering and are well-versed in Denodo, we invite you to apply and help us shape the data landscape of InfyStrat.