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Sr Data Engineer + Platform Engineer (GCP)

posted by: spj_bot

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 solving business problems that can be solved using systems thinking, AI engineering and data driven Insights, Tiger Analytics would like to talk to you. Now hiring for multiple roles across solution architecture, consulting and forward deployed engineering teams

Requirements

Please note this is a Hybrid role with 3-4 days a week onsite.

·       Proficiency in SQL, Python, and core Google Cloud services (BigQuery, Dataflow, and Cloud Storage) for building scalable ELT/ETL pipelines.

·       Experience with GCP Data Transfer service, Cloud Transfer Servie, Pub/Sub, Cloud Data Flow, Cloud Data Proc, Cloud Data Prep, Cloud Composer etc

·       Strong in Python.

·       Key skills include designing data models, implementing real-time processing (Pub/Sub), managing security (IAM), and automating infrastructure (Terraform)

·       Experience in, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler

Job Skills

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Data Quality Analyst

posted by: spj_bot

About DSI

Founded in 1984, DSI is a family-owned company committed to delivering exceptional value and measurable results to our clients and partners. Our comprehensive services include sales management, marketing support, hardware logistics, immersive training, engineering expertise, and proprietary software solutions—all designed to drive growth and operational efficiency.

At DSI, we believe strong relationships are the foundation of lasting success. We serve as a one-stop solution across a range of markets—including mobility, broadband, video, commercial, residential, Lodging & Institutions, and Multi-Dwelling Units—empowering our sales partners to uncover new opportunities and maximize their potential.

Role Summary

We are seeking a detail-oriented and proactive Data Quality Analyst to join our growing team. In this critical role, you'll be responsible for ensuring the integrity, completeness, and accuracy of data flowing into our systems from a variety of sources, including flat files, SFTP, APIs, and cloud platforms. Your work will directly impact our ability to make sound business decisions and maintain high-quality data assets.

Key Responsibilities

Job Skills

monitoring activities adaptability apis rest data feed automation data data self motivated sales process improvement information system SOAP ul blob storage cloud platforms microsoft 365 quality data flat files plan adapt communication sale management sql detail orient computer science data quality data integrity data visualization logistics json scripting languages analytical tableau data engineering problem solve data feeds python life insurance transfer protocols collaborate root causes data engineers tools e collaboration operations file transfer protocol developers business eye investigate automated data science google cloud mobility broadband validate data file transfer API processes tools miss datum cloud storage source data storage operational efficiency health data domo write communication proactiveness data warehousing e XML azure blob storage proprietary software manage execute data manipulation
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GenAI Data Engineer

posted by: spj_bot

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 with expertise in Dataiku 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. 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

Job Skills

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Lead Data Platform Engineer - AI Foundation

posted by: spj_bot

Senior Data Engineer - AI-First Fintech Platform

Location: Remote - Fully Remote - Across Europe

Compensation: $120K - $140K

We are a rapidly growing fintech and crypto platform undergoing an AI-first transformation. We are seeking a strategic, high-impact, and high-ownership Senior Data Engineer to build the foundational data infrastructure that powers our cutting-edge AI features.

You will report directly to the CTO and work closely with our Machine Learning (ML) team to consolidate and govern our data ecosystem (including PostgreSQL, Kafka, BigQuery, and GCS) into a clean, governed, and ML-ready platform. Your contributions will directly enable critical AI functionality across our product suite.

This role is responsible for the end-to-end design, implementation, and governance of our core data platform, ensuring high performance and readiness for ML applications.

Job Skills

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Machine Learning Engineer

posted by: spj_bot

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.

Requirements

Job Skills

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Machine Learning Engineer (with Vertex AI Experience)

posted by: spj_bot

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

Job Skills

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Machine Learning Infra Engineer

posted by: spj_bot

Location: New York, NY (Flatiron District)

Employment Type: Full-time

On-site: 5 days/week in-person (Non-negotiable)

About the Role

Our client is a high-growth, venture-backed defense tech company working at the cutting edge of signal processing, machine learning, and embedded systems. As a Machine Learning Infra Engineer, you will design and build core infrastructure from scratch to handle petabytes of radio spectrum data. This is a high-ownership role for an experienced engineer who has strong opinions on tooling best practices and can make informed, future-proof decisions about architecture.

This team operates with a high bar for talent, a culture of high growth and high ownership, and requires an in-person presence to foster collaboration.

What You'll Do

Job Skills

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Dutch Speaking CS Agent For Cloud-based Storage And File Synchronization

posted by: spj_bot

Mercier Consultancy MD is excited to announce an opening for a Dutch Speaking Customer Service Agent for a leading provider of cloud-based storage and file synchronization solutions. In this role, you will play a vital part in delivering exceptional support to our Dutch-speaking customers, helping them maximize the utility of our innovative services.


Responsibilities

  • Provide support to Dutch-speaking clients through various communication channels, including phone, email, and chat.
  • Assist customers with inquiries regarding cloud storage services, ensuring they understand how to use the product effectively.
  • Troubleshoot technical issues and provide actionable solutions to enhance user experience.
  • Document all customer interactions and feedback in the CRM system for future reference and quality improvement.
  • Collaborate with the technical support team to address complex issues and escalate when necessary.
  • Stay updated on product features, updates, and industry trends to provide accurate information to customers.

Requirements

Job Skills

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Training Manager

posted by: spj_bot

DSI Systems Inc., an Authorized AT&T Distributor Partner, is seeking a dynamic and motivated Training Manager to join our growing team. This role plays a critical part in driving performance by training call center agents and ensuring that our clients’ products and services remain top-of-mind during every customer interaction.

The Training Manager is responsible for developing, implementing, and overseeing comprehensive training programs tailored to the needs of our workforce. This includes assessing business objectives, identifying training gaps, and creating solutions that enhance employee knowledge, performance, and engagement. The ideal candidate will lead various training initiatives, delivering targeted development programs, all with the goal of improving operational effectiveness and ensuring consistent, high-quality support across the organization.

Office requirement: This role will report to our Richardson, Texas office.

About DSI

Founded in 1984, DSI is a family-owned company committed to delivering exceptional value and measurable results to our clients and partners. Our comprehensive services include sales management, marketing support, hardware logistics, immersive training, engineering expertise, and proprietary software solutions—all designed to drive growth and operational efficiency.

Job Skills

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Senior Machine Learning Engineer (GCP)

posted by: spj_bot

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

Job Skills

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