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.

Job Summary

We are seeking a highly skilled Principal Data Architect to design and implement our next-generation data ecosystem. You will lead the technical strategy for end-to-end data management, data warehousing, and IoT ingestion pipelines. The ideal candidate brings mastery in cloud data platforms (Azure or AWS) and advanced data governance.

Key Responsibilities

Data Architecture: Design Databricks-driven enterprise data warehousing (EDW), lakehouse, and business intelligence (BI) systems.

IoT & Stream Ingestion: Build scalable pipelines using Azure Hub, Device SDK, DPS, and Stream Analytics.

Data Management: Implement information lifecycle management (ILM) from data ingestion to archiving.

Data Strategy: Define, build, and enforce global data governance and master data management practices.

As a SRE Lead, you will design, implement, and maintain our observability cloud infrastructure and infrastructure platform. You will also work closely with development teams to streamline deployment processes and ensure system reliability.

We are looking forward to your resume!

Requirements

- 5+ years of experience in DevOps/SRE roles;

- Strong experience with AWS cloud services;

- Advanced knowledge of Kubernetes and container orchestration;

- Solid understanding of DevOps principles and practices;

- Experience with Helm chart development and maintenance;

- Strong proficiency in monitoring, logging, alerting, cloud, platform, OS, CI/CD, repo storage, and management tools;

- Strong scripting skills (Bash, Python, or similar);

- Excellent problem-solving and communication skills.

Responsibilities

- Manage SRE teams;

- Technical excellence of teammates;

- Implement and maintain monitoring solutions using Prometheus, Victoria-Metrics, and Grafana to identify and address performance issues proactively;

- Manage logging infrastructure using Fluent, Fluent-bit, ElasticSearch, and Kibana, ensuring efficient log collection, analysis, and visualization;

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 leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

Responsibilities:

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are seeking a highly experienced Senior Data Engineer to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse platform. This role is critical in building the foundational data layer for a large-scale digital transformation initiative that will support AI agents, digital workers, and knowledge graph (ontology) systems.

The ideal candidate will have strong software engineering experience with a focus on data pipeline development, data architecture, and scalable distributed systems. You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.

This position also involves technical leadership, mentoring engineering teams in a collaborative co-building model, and ensuring long-term operational ownership.

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are seeking an experienced Lead Data Engineer with expertise in AWS & Snowflake to join our data team. As a Lead 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

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 225 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

About The Job:

As a Developer Support Engineer, you'll be the go-to expert for helping customers integrate with our Web Scraping API (Zyte API) and Cloud Spider Deployment Platform (Scrapy Cloud). You’ll troubleshoot API issues, resolve scraping blocks, help deploy and debug crawlers in the cloud, and assist with usage and billing questions — whatever it takes to keep our customers get-going with their business!

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are seeking a highly experienced and technically proficient MLOps Architect to lead the design, development, and implementation of our next-generation machine learning platforms. This role requires a unique combination of deep technical expertise in MLOps, a strong background with cloud technologies, and the ability to effectively manage complex client relationships. The ideal candidate will be a strategic thinker who can translate business needs into scalable and robust MLOps solutions.

Responsibilities:

Full Stack Engineer (Frontend-Leaning, Cloud Infrastructure)

Location: NYC

Employment Type: Full-time

Work Arrangement: On-site 5 days/week

About the Role

Our client, a high-growth cloud infrastructure company backed by $13.5 million from Google Ventures, is on a mission to build a dedicated CI (Continuous Integration) cloud. They provide cloud infrastructure to help companies run their GitHub Actions substantially faster and cheaper, orchestrating millions of VMs each month over their own fleet of bare metal hardware. They've achieved $3M ARR with a small team and are growing extremely fast.

They are looking for a Full Stack Engineer who is strongly frontend-leaning (50-90% focus) but comfortable working on the backend. This high-impact role involves working closely with design to build the polished, high-performance UIs that manage complex infrastructure.

What You'll Do

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

We are looking for a Data Manager - Research to join our talented team and play a key role in managing clinical data for various research projects, ensuring high quality and consistency across all data collected.

Main Responsibilities:

Organize and improve data quality per rules set by Data Owner.

• Document data, metadata, lifecycle (catalog, contracts, process map)
• Apply data quality rules, automate, monitor flows/reporting
• Implement data integrity rules
• Ingest data to cloud platform (GCP), communicate with stakeholders
• Integrate new assets, Write data transfer specs; Perform quality controls
• Handle data access/migration/archiving
• Apply licensing terms for external data; Main contact for external data providers
• Harmonize/standardize/prepare data for analysis
• Share best practices with the DM community

Deliverables:

Why Join Us?

At Excelya, we are committed to excellence in healthcare, and we invite you to be part of our dedicated team where your expertise can make a significant impact.

As a young, ambitious health company with over 900 talented professionals, we strive to be Europe's leading mid-size CRO, delivering the best employee experience. Our integrated service model enables you to engage in diverse projects, working alongside industry experts to enhance scientific knowledge and improve the patient journey.

About the Job

We are seeking a Data Manager – CMC (Chemistry, Manufacturing, and Controls) to support our commitment to high-quality products. In this vital role, you will oversee and ensure the integrity of data generated. You will work closely with research and project teams to deliver actionable insights through rigorous data management practices.

Main Activities:

Organize and improve data quality per rules set by Data Owner.