376 to 400 of 1,389 Permanent Databricks Jobs

experience in a subject such as Mathematics, Statistics, Computer Science, or Geography DESIRABLE Exposure to Big Data Analytics (BigQuery, Apache Spark), Parallel Computing (Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Graph Computing, or Microservices Relevant industry sector knowledge across retail, property, or finance Other stuff Our offices ...

experience in a subject such as Mathematics, Statistics, Computer Science, or Geography DESIRABLE Exposure to Big Data Analytics (BigQuery, Apache Spark), Parallel Computing (Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Graph Computing, or Microservices Relevant industry sector knowledge across retail, property, or finance Other stuff Our offices ...

scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored ...

Consultant, Marketing Cloud Developer, Data 360 Consultant, Marketing Cloud Email Specialist, Marketing Cloud Administrator. Migration experience from Eloqua, Marketo or HubSpot Familiarity with Snowflake, Databricks, AWS and GCP as upstream data sources. Experience with WhatsApp, SMS and push channels, and with Marketing Cloud Personalisation or Salesforce Personalisation Familiarity with Agentforce ...

architectures (AWS, GCP, or Azure) Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.) Strong communication ...

software development and implementation of AI/ML systems using cutting-edge technologies such as Python, R, Docker, Kubernetes, and tools like Azure Databricks, MLflow, and Google Vertex AI. Highly Valued Requirements Advanced Education: Master's or Ph.D. in big data, artificial intelligence, or related fields. Consulting Experience: Prior work ...

architectures including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns with demonstrated ...

based data technologies and data warehousing design principles, preferably Azure.Deep understanding of design/building end-to-end data solutions.Solid experience with ETL tools, Databricks, SQL.Solid experience with Python/SQL/Spark.What's in it for youBeing a part of M&S is exactly that – playing your part ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side‐by‐side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build ...

experience shipping, supporting and iterating on pipelines, lakehouse models and BI tooling in production. Working command of a modern data stack such as Fivetran, Databricks, dbt and Looker, plus the adaptability to pick up client-specific tooling quickly. Good knowledge of Python, APIs and Git, and working knowledge of cloud ...

multiple cross-functional priorities. Preferred Qualifications Master's or PhD in computer science, machine learning, mathematics, statistics, or another quantitative field. Experience working with Databricks, Snowflake or similar cloud platforms for end-to-end machine learning projects, including collaborative notebook development, experiment tracking with MLflow, feature engineering at scale ...

data warehousing design principles, preferably Azure Expert in design/build of end-to-end data solutions Demonstrable experience with ETL tools, e.g. Databricks, SQL Demonstrable experience with Python/SQL/Spark Everyone's welcome We are ambitious about the future of retail. We’re disrupting, innovating and leading ...

backend language. Your code comes with tests, and you leave things tidier than you found them. Depth in at least one of SQL, Spark, Databricks/Delta Lake, Dagster/Airflow/Temporal or dbt. Bonus if you’ve shaped any of them into something a model can query, through ...

processing in a structured migration environment. Hands-on experience building and operating data pipelines on Azure, AWS or Google Cloud. Experience with Spark, PySpark, Databricks or comparable distributed processing technologies. Experience building modular, tested and documented transformations using dbt or an equivalent approach. Strong SQL and Python skills for writing ...

backend language. Your code comes with tests, and you leave things tidier than you found them. Depth in at least one of SQL, Spark, Databricks/Delta Lake, Dagster/Airflow/Temporal or dbt. Bonus if you've shaped any of them into something a model can query, through ...

Learning Academy (VLA), Tableau Desktop Specialist - Edureka Required Skills Automation Technology, Automation Technology, Big Data, Business Intelligence (BI), Clinical Analysis, Cloud Computing, Data Analytics, Databricks Platform, Data Science, Data Visualization, Deep Learning, Generative AI, Healthcare Analytics, Insurance, Legacy Modernization, Machine Learning, Microsoft Power Apps, Microsoft Power Business Intelligence (PBI), People ...

evidence-based recommendations. Curious about advanced analytics, with experience or a strong interest in applying statistical and machine learning techniques (e.g. Python, R or Databricks) to turn insight into practical, ethical and explainable actions. Where you’ll work Right now, our Support Centre teams work flexibly, blending home working with ...

product features into production, including integrating LLMs and generative AI services Strong experience with modern cloud data warehouse and lakehouse platforms (e.g. Snowflake, BigQuery, Databricks, Redshift) Solid understanding of data modelling, ELT/ETL pipelines, and orchestration tooling (e.g. dbt, Airflow), including data quality, lineage, and governance Deep experience architecting ...

translate business needs into reality-based requirements Preferred Qualifications Experience working effectively with data science teams Specific experience with our stack: Spark, Python, Databricks/Snowflake, AWS, Terraform Knowledge of media buying and ad platforms including DMPs, Google Ads, Facebook/Instagram, Innovid, LiveRamp and DSPs (Google Display Video ...

segmentation Use Python to process and clean data, write scripts and build ML or econometric models Opportunity to work with tools like Power BI, Databricks, Git, Jira, Pandas, PySpark, VS Code 2. Consulting & Strategy Gain experience translating complex data outputs into recommendations for clients Attend internal and client meetings ...

plus While we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open‐source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure Familiarity with Generative AI (GenAI ...

defining, architecting, and delivering modern cloud data stack based data and analytical solutions on AWS, GCP, or Azure cloud, as well as Snowflake or databricks based cloud data platforms, and other related platforms and services part of the modern data stack Proven history of leveraging and growing existing client base ...

Data Architecture. Expertise across foundational data domains including data modelling, data engineering, data governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Anthropic etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading ...

/CD, monitoring, or serving via an API). Experience with cloud-based AI/ML and data platforms (e.g. Palantir Foundry, Snowflake, Databricks, AWS/Azure/GCP). Experience with LLM application patterns: retrieval-augmented generation, tool-using agents, multi-agent orchestration, prompt/pipeline evaluation, and grounding ...

technical stakeholders and works effectively with colleagues across the business. Demonstrates attention to detail and a commitment to producing accurate, reliable data. Experience with Databricks or similar data platforms Experience working in an agile environment. Experience within the education technology sector. Familiarity with Confluence or a similar documentation platform. Experience ...