data warehouses

Data Scientist, Product Data Science - (Remote - Canada)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Scientist, Product Data Science in Canada.

This role offers the opportunity to work at the intersection of data, product, and strategy, helping guide high-impact decisions for one of Canada’s most prominent fintech platforms. As a Data Scientist on the Product Data Science team, you will design experiments, build predictive models, and create scalable data solutions that support growth and product innovation. You’ll collaborate closely with Product, Engineering, and Marketing teams to deliver insights and shape product development. If you’re passionate about using data to solve real-world problems and want to be part of a purpose-driven mission, this role is for you.

Accountabilities:

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Solutions Architect - (Remote - Brazil)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Solutions Architect in Brazil.

As a Solutions Architect, you will play a key role in helping enterprise clients unlock the full value of their Customer Data Platform (CDP) investments. You’ll guide clients through technical implementation and strategic deployment, working across web, mobile, and server environments. You’ll be the go-to expert for best practices, integration strategies, and data architecture, ensuring smooth onboarding and a strong foundation for ongoing adoption. This is a client-facing, consultative role that blends technical acumen with project leadership, perfect for someone who enjoys solving complex problems in a collaborative, global environment.

Accountabilities:

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Gen AI Data Engineer

posted by: spj_bot

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience 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:

Technical Skills Required:

Programming Languages: Proficiency in Python, SQL, and PySpark.

Data Warehousing: Experience with Snowflake, NOSQL and Neo4j.

Data Pipelines: Proficiency with Apache Airflow.

Cloud Platforms: Familiarity with AWS (S3, RDS, Lambda, AWS batch, SageMaker processing Job, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, Bigquery, GKE)

Operating Systems: Experience with Linux.

Batch/Realtime Pipelines: Experience in building and deploying various pipelines.

Version Control: Experience with GitHub.

Development Tools: Proficiency with VS Code.

Job Skills

adaptability monitor system cloud platforms operating system GCP persistence communication buckets image data pipeline dashboards data system bigquery cloud technology python integrating higher level best practices communication skills docker pyspark system performance linux real time graphs iterate lambda aws e apache airflow disaster recovery ontologies scalable knowledge graph sql data formats information retrieval airflow problem solve career development kubernetes opensearch data science devops transformation programming languages track indexing leadership graph algorithm reliability automation managing development tools integration adapt managing data audio video data infrastructure nosql elasticsearch business continuity planning aws batch search technology business continuity collaboration workflows machine learn data warehouses neo4j data warehousing presentation data management version control github big datum GKE data visualization analytical data engineering positive algorithms curating analytics collecting data sagemaker cloudformation market research infrastructure as code graph database consulting unstructured data scalability data sources experimentation collaborative infrastructure snowflake containerization scale continuous integration datum curation data pipelines relational database
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Senior Data & AI Consultant (m/w/d) - bundesweit

posted by: spj_bot

Gestalte mit uns, wie Technologie Unternehmen verändert – und deine Karriere gleich mit.

HSO gehört seit über 21 Jahren zum Microsoft Inner Circle – der exklusiven Top 1 % aller Partner weltweit – und wurde 26-mal als Microsoft Partner of the Year ausgezeichnet. Mit über 30 Jahren Erfahrung, 2.800 Mitarbeitenden aus 43 Nationen und 33 Standorten weltweit verbinden wir technologische Exzellenz mit tiefem Branchenverständnis.

Bei HSO arbeitest du an innovativen Projekten, direkt an der Schnittstelle zwischen Business und moderner Microsoft Cloud – von Dynamics über Azure bis hin zu Data & AI. Du willst nicht nur beraten, sondern gestalten? Dann werde Teil von HSO und bring dein Know-how dorthin, wo es zählt: in internationale Projekte, moderne Technologien und ein Team, das deinen Anspruch teilt, besser zu sein als gestern.

Werde Role Model für Data & AI bei HSO 

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Data Engineer - Latin America - Remote

posted by: spj_bot

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:

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