Ben je klaar voor de stap naar Enterprise Level Cloud Native Development? Kom dan kennismaken bij HSO

Join the Journey!

Wat ga je doen?  

Jij gaat je expertise inzetten binnen complexe projecten en houdt je bezig met de ontwikkeling van Cloud Solutions met Microsoft Azure technologieën. Je bent een ontwikkelaar bij de realisatie en automatisering van bedrijfskritische processen. Hierbij gebruik je altijd een combinatie van meerdere Azure-services. Ook draag je bij aan de GitHub-repository van waaruit wij onze klanten bedienen.

Over het team

Het team bestaat uit ervaren architecten, consultants en andere Cloud Developers. Kortom, een divers team met genoeg mogelijkheden om te groeien en genoeg collega's die altijd voor je klaarstaan. Om je kennis te verbreden zijn er maandelijkse team meetings, expert sessies en is er alle ruimte voor het volgen van trainingen, conferenties en workshops. Wij werken bij onze klanten veel samen in multidisciplinaire teams. Dat zijn teams waarin we verschillende expertises vanuit HSO gecombineerd inzetten voor onze klanten. Denk hierbij bijvoorbeeld aan verandermanagement, User Centered Design en Data Engineering. Dit geeft jou de mogelijkheid om veel te leren van je collega’s en om jouw kennis met hen te delen.

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.

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 has been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and data analytics background.

Responsibilities:

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. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Core Responsibilities:

Data Security Analysis:

• Assess current data access policies, security protocols, and data classification procedures.
  

Databricks Component Design:

• Create detailed design of data access control mechanisms within Databricks using appropriate features.
  
  

Collaboration & Documentation:

• Collaborate with the Platform Architect to ensure alignment between data security controls and the overall UAM architecture.
  
• Document the design and implementation of data access control within Databricks.

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 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 looking for experienced Technical Program Manager 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.

Key Responsibilities

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

Description

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.

We are expanding our Data Engineering practice and looking for Sr. Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.

This is a remote role for applicants based in USA.

Requirements

Tiger Analytics is looking for experienced Machine Learning Engineers 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:

• ML Engineer with 5-7 years of IT experience.
• Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc.
• Develop Airflow DAGs to run training and scoring pipelines
• Develop a Testing framework with Pytest
• Implement monitoring solution with homebrew solution using Lambda and Dash
• Develop Data Quality solutions potentially leveraging Great Expectations.

Requirements