InfyStrat is actively seeking a Solution Architect with expertise in Denodo and Snowflake to join our innovative team. In this pivotal role, you will be responsible for designing and implementing comprehensive data solutions that integrate Denodo's data virtualization capabilities with Snowflake's cloud data warehousing. Your primary focus will be to address complex data challenges by creating scalable and efficient architectures that enable seamless data access and analytics. You will collaborate with stakeholders across various departments to define requirements and ensure that implemented solutions align with business objectives. The ideal candidate will have a strong technical background, excellent problem-solving skills, and a passion for leveraging technology to drive business value. Join us at InfyStrat, where your expertise will play a vital role in shaping our data strategy.

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 Senior Director, Solutions Architecture in the United States.

We are seeking a strategic and people-focused Senior Director of Solutions Architecture to lead and expand a national team of technical experts. This role will drive the success of pre-sales initiatives and help build long-term customer relationships through technical excellence, solution alignment, and a deep understanding of client needs. As a core member of the revenue leadership team, you will oversee Solutions Architect Managers, support enterprise customers, and serve as a key link between go-to-market, product, and technical teams. This is an ideal opportunity for a results-driven leader who thrives in a fast-paced, customer-focused environment and has a passion for data infrastructure and scalable solutions.

Accountabilities:

·         Lead and grow a high-performing Solutions Architecture team across the U.S., with a focus on technical excellence and customer impact.

·         Partner closely with Sales and Customer Success to deliver scalable, tailored solutions that align with customer goals.

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.

InfyStrat is looking for a proficient Developer with expertise in Denodo and Snowflake to join our data engineering team. In this role, you will be responsible for designing, developing, and implementing data integration solutions that leverage Denodo's data virtualization capabilities alongside Snowflake's cloud data warehousing. You will collaborate with data architects and stakeholders to understand business requirements and deliver effective data solutions that enhance data accessibility and usability. The ideal candidate will have a strong background in data integration, a deep understanding of both Denodo and Snowflake, and the ability to translate complex data needs into actionable solutions. Join us at InfyStrat, where your expertise will help drive our data strategy forward.

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business.

Requirements

Details:

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.

About Us

At Motia, we’re not just about Fuel Cards we’re at the forefront of fleet solutions, providing innovative services that power businesses across the UK. We’re committed to creating an environment where everyone can thrive. Our culture fosters collaboration, innovation, and growth, ensuring you can build a career, not just a job. With over 250 employees across five offices, we support over 50,000 customers nationwide. Whether you’re passionate about sales, technology, customer service, or management, you’ll find opportunities here that will challenge, inspire, and reward you.

About the role

Reporting to the Lead BI Developer, the Junior BI Analyst is responsible for supporting the transformation of data into actionable insights that support data-driven strategic decision-making. The Junior BI Analyst will work closely with the Lead BI Developer and other members of the BI team, utilising BI technologies to provide analytical support on business requirements and solutions that improve business performance.

Duties & 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 Senior Software Engineer - Data Engineering in India.

This role offers an exciting opportunity for a seasoned data engineer to design, build, and optimize robust, scalable data pipelines that support AI-driven analytics and large-scale data processing. You’ll work with technologies such as Apache Spark, Kafka, and Databricks to develop real-time and batch solutions, integrate machine learning models, and contribute to the company’s growing data infrastructure. Collaboration with cross-functional teams including data science and product engineering will be key as you build systems that drive innovation and performance across a global user base.

Accountabilities:

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, 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. You will be responsible for:

Technical Skills Required:

Programming Languages: Proficiency in Python, SQL, and PySpark.

Data Warehousing: Experience with Snowflake, NOSQL and Neo4j.

Data Pipelines: Proficiency with Apache Airflow.

Cloud Platforms: Familiarity with AWS (S3, RDS, Lambda, AWS batch, SageMaker processing Job, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, Bigquery, GKE)

Operating Systems: Experience with Linux.

Batch/Realtime Pipelines: Experience in building and deploying various pipelines.

Version Control: Experience with GitHub.

Development Tools: Proficiency with VS Code.

Tiger Analytics is looking for experienced Agentic AI Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, 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. You will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
• Creating Scalable Machine Learning systems .
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Technical Skills Required:

·        Programming Languages: Proficiency in Python is essential; C++ experience is ideal but not required.