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Snowflake Developer

posted by: spj_bot

Join InfyStrat as a Snowflake Developer, where you will play a vital role in transforming our clients' data into actionable insights. As a part of our talented team, you will design and develop scalable data solutions using Snowflake, ensuring that our data architecture is robust and efficient. This position requires innovative thinking and a passion for optimizing data workflows, thus enabling informed decision-making. If you are looking for an exciting challenge in a fast-paced environment, we invite you to be a part of our journey!

Contract: 3 months extendable

Key Responsibilities

  • Design, develop, and maintain data models and ETL processes using Snowflake.
  • Collaborate with cross-functional teams to collect, analyze, and transform large datasets.
  • Optimize and tune SQL queries and Snowflake performance for enhanced efficiency.
  • Implement data governance practices to ensure data integrity and security.
  • Conduct data analysis and visualization to support business intelligence initiatives.
  • Stay updated with Snowflake features and best practices, proposing improvements actively.
  • Prepare technical documentation and provide training to team members as needed.

Requirements

Job Skills

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Data Analyst (Materials Analytics)

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 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're looking for a data evangelist with hands-on SQL experience and a solid understanding of data architecture. You will thrive on empowering others through reporting and analytics, whether building solutions or mapping business processes to data. You will excel at uncovering relationships in complex data environments and simplifying technical concepts for diverse audiences.

Overview

As a Materials Data Analyst, you will play a pivotal role within the Sustainability and Materials Analytics team. You will deliver actionable data and insights to help optimize the Materials Supply Chain by matching supply with demand more efficiently and effectively.

Responsibilities

Job Skills

color professional leadership databricks high level data products decision make unstructured datum information system value stream simulation data management business process version control integration manage adapt data wrangling creatively mapping sql stakeholder communication sustainability computer science dashboards data driven writing materials development data visualization consultants operational sql server analytical tableau forecasting problem solve targeted visualization alteryx career development presentations python data analysis data processing collaborate decision support think critically best practices operationalize analytics communication skills communicate operations programming languages supply chain pandas data science market research git consulting statistics disability machine learning snowflake reverse engineering analysis business partner e data architecture integrate think strategically power bi transformation product development ad hoc
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MDM Lead (AD/Dir) - (Pharma / Lifesciences)

posted by: spj_bot

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 looking for a MDM Lead who will be responsible for designing, implementing, and governing enterprise Master Data Management solutions supporting Commercial operations in Life Sciences industry. This role requires deep hands-on expertise in MDM platforms (primarily Informatica), strong understanding of Pharma Commercial data domains, and the ability to translate business strategy into scalable data architecture and operating models..

RESPONSIBILITIES:

Job Skills

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MDM Lead (AD/Dir) - (Pharma / Lifesciences)

posted by: spj_bot

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 looking for a MDM Lead who will be responsible for designing, implementing, and governing enterprise Master Data Management solutions supporting Commercial operations in Life Sciences industry. This role requires deep hands-on expertise in MDM platforms (primarily Informatica), strong understanding of Pharma Commercial data domains, and the ability to translate business strategy into scalable data architecture and operating models..

RESPONSIBILITIES:

Job Skills

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Senior Data Engineer

posted by: spj_bot

Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish remote engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions. 

Robusta is a tech agency working with a diverse client base across different sectors & industries on implementing digital transformation programs. Engagements are typically focused on digitization of existing operations & processes and/or activation of digital customer engagement channels. With a team of 100+ tech and market consultants, robusta maintains an impactful footprint across EMEA and engages with its clients through its two key operations hubs in Egypt and Germany. 

 Key Responsibilities

Job Skills

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Lead Engineer - AI Solutions 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.

The DE + AI Solutions Engineer will design, build, and deploy advanced data, Generative AI (Gen AI), and Agentic AI solutions for key client projects. This role requires deep, mandatory hands-on expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade code, pipelines, and infrastructure.

Requirements

Client Engagement & Delivery:

  • Collaborate directly with client stakeholders to gather requirements, present technical solutions, and manage expectations.

Technical Leadership & Expertise:

Job Skills

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Associate Director - Solutions Architect

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.

The Enterprise Solutions Architect will lead the architectural design and delivery of advanced data, Generative AI (Gen AI), and Agentic AI solutions for the assigned strategic account or cluster of growth accounts. This role requires deep, mandatory expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade technical solutions.

Requirements

Client Engagement & Delivery:

Job Skills

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Quantitative Software Engineer

posted by: spj_bot

Quantitative Software Engineer - DeFi Economic Optimization

Location: Remote - US, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, securing over $42 billion in customer TVL. We are seeking highly skilled and motivated Quantitative Software Engineers to drive the safe progression of future financial systems.

You will be at the intersection of quantitative finance and software engineering, driving the design and implementation of risk management and optimization strategies for major DeFi protocols. This role involves full ownership, from building robust data pipelines and core modeling platforms to deploying logic that enhances capital efficiency and risk-adjusted yields.

Key Responsibilities:

Job Skills

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Associate Director - Technology Consulting Data Architect

posted by: spj_bot

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.

We are looking to hire a Data Architecture Lead to design, develop, and govern the organization’s end-to-end data ecosystem. This role will define the vision, strategy, and roadmap for how data is collected, integrated, stored, and accessed to enable digital transformation, AI/ML, and advanced analytics initiatives.

Requirements

Job Skills

color information management leadership enterprise applications data warehouse databricks data data data integration data management scalable collected integration on prem GCP data data lakes data modeling management frameworks management master data management architectural pattern data quality engineering services consultants data platform airflow architecture modeling data engineering enterprise information management migration cloud career development platforms cloud collaborate data lake best practices analytics digital transformation stakeholder management innovative adoption data science market research consulting API govern data governance use cases disability machine learning decision metadata tracking snowflake enterprise architecture integrated e blueprints data architecture decision making execute
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Data Engineer

posted by: spj_bot

At InfyStrat, we are on the lookout for an innovative and skilled Data Engineer to join our dynamic team. In this position, you will be responsible for building and maintaining our data architecture, ensuring that our data is accessible, reliable, and timely. You will leverage your expertise to design robust data pipelines and optimize data flows to support analytical and operational needs across the organization. Collaborating with data analysts, data scientists, and other stakeholders, you will gather requirements to create scalable data solutions that drive business intelligence and insights. If you have a passion for data and enjoy tackling complex challenges, we want to hear from you!

Core Responsibilities

  • Design, develop, and maintain data pipelines to support ETL processes.
  • Ensure data quality and integrity across various data sources and systems.
  • Collaborate with cross-functional teams to identify data requirements and create data models.
  • Utilize big data technologies for large-scale data processing.
  • Monitor and troubleshoot performance issues related to data processes.
  • Stay updated on the latest technologies and best practices within the data engineering field.

Requirements

Job Skills

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