101 to 125 of 1,445 Permanent Databricks Jobs

experience working with SQL Server Strong experience working with Azure Data Factory and Azure DevOps Hands-on experience with data lake platforms, Azure Synapse, Databricks, or equivalent experience/skills Experience with tooling such as CI/CD pipelines and version control The ability to lead feature specifications and working ...

Google Cloud Bachelor’s degree in computer science, data science, information systems, business analytics, or related discipline Preferred qualifications, capabilities, and skills Experience with Databricks and notebook‐based development Experience working with financial and workforce datasets Equal Employment Opportunity We recognize that our people are our strength and the diverse ...

various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging Data & AI: Understanding ...

with front‐end web technologies and frameworks such as React and Next.js. Experience with nextgen datawarehouse/data analytics platforms such as Snowflake or Databricks Your First 6 Months You can expect to quickly become involved in meaningful production work, including: 1. AWS Cloud Migration Support key elements ...

have Programming: Proficiency in Python, Java, Scala, or similar languages for data processing. Big Data Technologies: Hands-on experience with tools such as Databricks, Apache Spark, and Hadoop. Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Database Management: Expertise in relational databases (e.g. ...

guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate ...

with front‐end web technologies and frameworks such as React and Next.js. Experience with nextgen datawarehouse/data analytics platforms such as Snowflake or Databricks Your First 6 Months You can expect to quickly become involved in meaningful production work, including: 1. AWS Cloud Migration Support key elements ...

finance or business environment.Experience supporting finance transformation, data modernization, reporting automation, digital finance, or process improvement initiatives.Familiarity with Power BI, SQL, Azure, Databricks, or similar data and analytics platforms. Basic Qualifications: Bachelor's degree in Finance, Accounting, Information Systems, Data Analytics, Computer Science, or similar field. Preferred: Master's degree ...

will have a genuine passion for building scalable, resilient cloud data platforms alongside the following technical expertise: Platform Experience: Strong, hands-on experience with Databricks or Snowflake on AWS. Programming & Orchestration: Proven Python skills, including deep expertise in PySpark (or Spark) and Airflow. Data Modelling: Advanced SQL skills and extensive ...

focused role Strong SQL and Python development skills Experience building and supporting scalable data pipelines and transformation processes Hands-on experience with Apache Spark, Databricks, dbt and cloud-based data platforms Good understanding of data modelling principles, data lakes and data warehouse architectures Experience working with CI/CD pipelines ...

enterprise tax technology (for example Alteryx, the Microsoft Power Platform or Microsoft Fabric). Recognised cloud, data or AI certifications (for example Azure, AWS, Databricks or a generative-AI credential), or a track record of proposition and business development. EY | Building a better working world EY is building a better ...

processes. Technical Skills Programming: Proficiency in Python, Java, Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres ...

background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks). System‐level judgement on how data architecture shapes AI outcomes: designing governed sources for RAG, structuring data for retrieval and orchestration, and deciding where structured ...

Pipeline.Experience in these areas would be helpful:Experience working within Agile teams, ideally using SAFe methodologies.Knowledge of tools such as Qlik Replicate, Qlik Compose, Databricks, Informatica, or SAS.Understanding of data modelling methodologies, including Kimball, Data Vault, and Lakehouse.Awareness of Data Science, AI, and Machine Learning principles and practices.Experience with testing ...

focused role Strong SQL and Python development skills Experience building and supporting scalable data pipelines and transformation processes Hands‐on experience with Apache Spark, Databricks, dbt and cloud‐based data platforms Good understanding of data modelling principles, data lakes and data warehouse architectures Experience working with CI/CD pipelines ...

Technical Skills: Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka ...

Information Architecture. Data Modelling. Data Governance. Metadata Management. Master Data Management. Data Quality. Reference Data. Cloud Platforms Microsoft Azure; AWS; GCP Modern Data Platforms Databricks; Microsoft Fabric; PostgreSQL Data Integration Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures Architecture & Modelling TOGAF; DAMA; ArchiMate ...

matters as much as the building). Experience with Retrieval-Augmented Generation, and with vector or graph databases. Familiarity with a modern data stack: Databricks, dbt, DLT, Unity Catalog or similar. This is a direction of travel for us, not a settled decision, so exposure is welcome but not required. ...

such as Salesforce Data Cloud, Adobe Experience Platform, or equivalent (desirable). Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable). Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable). Confidence using ...

such as Salesforce Data Cloud, Adobe Experience Platform, or equivalent (desirable). Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable). Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable). Confidence using ...

Overview At Databricks, we are passionate about enabling data teams to solve the world's toughest problems by building and running the data and AI infrastructure platform that helps customers use deep data insights to improve their business. We focus on tackling technical challenges across design, scalability, and reliability … also the multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values. Responsibilities Join backend teams that span multiple domains across essential service platforms. Solve challenges such as distributed systems, at-scale service architecture and monitoring, workflow ...

experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker ...

Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that … above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. ...

more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across … concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache SparkTM to process large-scale distributed datasets Willing to travel once every 4-8 weeks to see customers (as needed) About ...

/data pipelines Knowledge of data modelling and database design Strong analytical and problem-solving skills Nice to have: Azure (Data Factory, Synapse, Databricks or similar) Power BI Git or Azure DevOps Experience working with cloud-based data platforms Exposure to retail, eCommerce or customer data This ...