401 to 425 of 1,437 Databricks Jobs

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 ...

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 ...

business leads, architects, engineers, testers, security, risk, finance and operations teams to deliver agreed outcomes. Support delivery across cloud data platforms, including Azure and Databricks, making sure requirements, priorities and outcomes are clear and traceable. Manage delivery finances, forecasts, benefits tracking and resource planning where applicable. Define and manage acceptance ...

practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS). Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization. Strong communication ...

REQUIRED Strong Python and SQL, with production experience building and operating data pipelines — ideally in Microsoft Fabric, or a comparable lakehouse platform such as Databricks, Synapse or a dbt-based stack. Hands‐on experience with time‐series, sensor or telemetry data at scale, including the realities of gaps, drift, flatlines ...

dynamic business context. The Tetra Platform spans the following diverse technology domains: Enterprise Data & Agentic AI Platform: Multi-tenant cloud architecture, Durable workflows, AWS, Databricks, RBAC/ABAC, IAM, observability and infrastructure chargebacks. Data, Knowledge, and Developer Products: Search, Semantic layer foundations, knowledge and ontology layers and products, external developer ...

optimisation, agent frameworks. Inference and edge: TensorRT, ONNX Runtime, vLLM, Nvidia Triton Inference Server, KServe, Nvidia Jetson (e.g. Jetson Thor). Data and platforms: Databricks, Apache Spark, MLflow, SQL, AWS, GCP, Docker. Working at Rowden We are committed to building a flexible, inclusive, and enabling company. ...

products, decision-support tools, or AI applications that have influenced strategic, operational, or investment outcomes. Familiarity with modern cloud data platforms and technologies, including Databricks, Snowflake, AWS, Azure, or GCP. Experience working in embedded, investment-facing, consulting, or front-office analytics teams where business adoption and impact are critical measures ...

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 ...

services Azure Monitor and Application Insights GitHub and/or Azure DevOps Bicep or Terraform Microsoft Fabric and modern enterprise data platforms Experience with Databricks, Snowflake, LangGraph, AutoGen or comparable orchestration frameworks would be advantageous. What we look for A successful candidate will move naturally between conversations about business value ...

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 ...

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

incentive allocation, or revenue optimisationExperience with experiment design and conducting A/B testsExperience with bandits, reinforcement learning, or other explore-exploit approachesExperience with Databricks and PySparkExperience working with AWS or another cloud platform (GCP/Azure)Additional InformationHealth + Mental WellbeingPMI and cash plan healthcare access with BupaSubsidised counselling ...

actually looks like. Platform fluent. You're expert-level across BI tools like Tableau, Qlik, Power BI, Looker, Sigma and data platforms like Snowflake, Databricks, Redshift, Google BigQuery and you can evaluate a new one fast. Deep in data and semantic modeling. Expert-level SQL and data/semantic modeling ...

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 ...