Tiger Analytics is an advanced analytics consulting 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, Big Data and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are working on building the best analytics consulting company in the world.

We are currently seeking a dynamic and experienced Recruiter to join our Talent acquisition team.

Responsibilities:

Talent Acquisition:

• Execute end-to-end recruitment processes, from sourcing and screening to interviewing and onboarding.
• Identify and attract top talent through various channels, including job boards, social media, and professional networks.

Candidate Relationship Management:

• Build and maintain strong relationships with candidates throughout the recruitment process.
• Provide a positive candidate experience and act as the main point of contact for candidates.

Collaboration with Hiring Managers:

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.

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

"Transformeer data als een ware meester - als senior data engineer, ben jij de alchemist die data omzet in goud!" 

Join the Journey

Wat ga je doen? 

Als Data Engineer bij ons bedrijf ben je verantwoordelijk voor het ontwerpen, ontwikkelen en implementeren van robuuste Data & AI oplossingen. Je bent een technische expert met een scherp oog voor detail en een diepgaande kennis van Data-Engineering principes en Cloud Infrastructuren. In het Data & AI team bouw je end-to-end data-oplossingen. Dit omvat het verzamelen en opslaan van ruwe data, het implementeren van geavanceerde analytische modellen en het optimaliseren van data-architecturen voor maximale prestaties en schaalbaarheid. Daarnaast analyseer je klantbehoeften en doelstellingen om inzicht te krijgen in de gewenste dataoplossingen.  

• Ontwikkelen en implementeren van data platformen; 
• Samenwerken met het team en de klant om technische specificaties te definiëren en te documenteren;  
• Ontwikkelen en implementeren van data pipelines;  
• Optimaliseren van data-architecturen voor maximale prestaties en schaalbaarheid. 

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 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.

Requirements

• Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack.

• AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift.

• AI/ML Tools: Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs).

• DevOps & IAC: Experience deploying infrastructure using AWS CDK or Terraform.

• Core Skills: Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS.

Benefits

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 Sr. Data Engineer with expertise in Snowflake 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 Cloud Snowflake DBT. 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 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 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

Tiger Analytics is an advanced analytics consulting 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 AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America.

This position will give you the opportunity to collaborate with a growing team and bright engineering minds in big data computing. You will enjoy the role if you love designing and developing scalable, high performant big data infrastructure using Spark, Kafka, Snowflake or any similar frameworks, both on premise and in the cloud. Experience in building data pipelines, data services, data warehouses, BI and ML platforms is what we are looking for.

At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge.

Requirements

The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential.

Basic Qualifications: