576 to 600 of 1,441 Databricks Jobs

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. Strong knowledge of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns. Preferred Qualifications ...

users. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experiencewith statistical data analysis ...

relevance to secure engineering. Exposure to Agile working environments and DevSecOps practices Ideally experience securing data platforms such as Databricks, Dagster or Snowflake Eligible to work in the UK. What the role offers: £80,000 DOE, negotiable Predominantly remote/hybrid working London office Full-time permanent position Excellent benefits ...

Good understanding of tools and platforms used across the **Lloyd’s insurance ecosystem**.* Proficiency in Azure ecosystem: Blob Storage, Data Lake, Synapse Analytics, Databricks, Functions, and Monitor.* Demonstrated expertise in **analytics consulting**, **data analysis**, and **data analytics**.* Strong business acumen with the ability to connect technology decisions ...

understanding of platform architecture, distributed data systems, orchestration, governance, and scalable data product design Experience with technologies and ecosystems such as GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, dbt, Kubernetes, Airflow, ML/AI enablement, or similar modern platform tooling Strong commercial acumen and ability to engage credibly with senior ...

languages such as Python and SQL. Knowledge of modern visualization tools such as PowerBI is a plus. Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential. Effective task/project management and general organization skills. Excellent verbal and written communications skills; ability ...

standards and delivery best practices. Technical Expertise Experience designing solutions across modern cloud data platforms, including Google BigQuery/Google Cloud Platform (GCP), Snowflake, Databricks, and Azure data services. Familiarity with enterprise analytics architectures, governed analytics pipelines, and modern data engineering practices. Experience integrating analytics platforms into complex enterprise data ...

Qualifications, Capabilities, and Skills Background in STEM with exposure to productionising machine learning systems Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Databricks, BentoML, Arize) Proficiency in cloud-native microservices architecture Hands-on experience with Amazon Web Services (AWS) Previous experience as a Platform engineer Experience working ...

Experience of mentoring/coaching junior analysts Knowledge of online casino and sports betting Proficient in Excel or other data analysis tools Experience using Databricks Experience with other BI tools such as Alteryx Experience of using Google Analytics for reporting and analysis (including BigQuery) Should you not hear from ...

architectural standards and delivery best practices.Technical Expertise• Experience designing solutions across modern cloud data platforms, including Google BigQuery/Google Cloud Platform (GCP), Snowflake, Databricks, and Azure data services.• Familiarity with enterprise analytics architectures, governed analytics pipelines, and modern data engineering practices.• Experience integrating analytics platforms into complex enterprise data ...

large data volumes and high‐traffic applications. Strong integration knowledge: Salesforce APIs, event‐driven integration, MuleSoft or equivalent, and enterprise data platforms (e.g. Snowflake, Databricks, Azure, MS Fabric). A track record of defining technical strategy and roadmaps, and of org and platform strategy (single vs multi‐org, including ...

relevant cloud, data, AI, or geospatial certification; experience developing data products with AI models and data science; and hands-on knowledge of Microsoft Azure, Databricks, the Esri Enterprise stack, Docker, Kubernetes, infrastructure as code, or CI/CD practices. What We Offer We offer a competitive compensation and benefits package ...

Agent Service, LangChain, LangSmith, CrewAI) is a plus Experience with GenAI application development Experience with cloud platforms (AWS, Azure) or data platforms (e.g., Databricks) Experience with design systems and accessibility standards. Additional Information What’s in it for you to join MUFG Investor Services? Take a look at our careers ...

one. Startup or top-tier consultancy backgrounds are both welcome Nice to have TypeScript, API development or dashboarding tools Airflow, dbt or Databricks Experience with ERP (SAP, Oracle) or CRM data Palantir Foundry or AIP Why engineers join us Big clients, small team. Some of the biggest names in industry ...

ability to clearly capture requirements for both analysts and developers. Experience working with cloud-based data platforms such as Azure Data Factory, Synapse, Databricks or Redshift . What You'll Get in Return A discretionary annual bonus so you can share in the company's success 25 days' paid holiday ...

with occasional global travel for events and conferencesPreferred Qualifications• Knowledge of and experience in the BI/analytics software industry• Familiarity with the Snowflake, Databricks, Amazon Redshift, and Google BigQuery partner ecosystems• Experience standing up reseller partnerships in addition to co-sell motions• Experience using Sigma, Salesforce, Crossbeam, and Gong ...

JPMorgan Chase.Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill ...

roughly 75% analytics/25% data engineering) with a deep understanding of data platform architecture and data modeling. Tooling: Proficiency in SQL, Python, and Databricks is essential. Experience with Snowflake, Sigma, and dbt Cloud is highly preferred. Industry Context: Previous experience in Fintech (small to midsize) or regulated industries (gaming ...

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 ...

with demonstrated experience in vector‐based data processing Experience leading global, distributed engineering teams through production system transformation Strong cloud data infrastructure background — AWS, Databricks, Kubernetes Cross‐team technical influence — demonstrated ability to facilitate constructive discussions around complex technical and organisational issues and drive architectural decisions across team boundaries Data ...

responsible approaches to using enterprise data for automation and insight. Experience with complementary data and MDM technologies such as Informatica, Collibra, Syniti, Microsoft Azure, Databricks, Snowflake or equivalent platforms. A strong external network, relevant certifications and a visible contribution to the SAP data community through industry perspectives, client innovation ...

Solid software engineering skills in Python, with an understanding of how to write maintainable, testable code Familiarity with ML tooling and platforms such as Databricks,MLflow, Airflow, or equivalent Familiarity with CI/CD pipelines and how they apply to ML systems An understanding of ML lifecycle challenges - versioning, testing ...

practicalities of quality, flow, and organisation of information. Bring experience in coding in Python and SQL Have solid experience of Snowflake and Azure DataBricks Have a good understanding of AI usage of data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies ...

analytics engineering fundamentals: Advanced SQL, Python, data modeling (star/snowflake, OBTs, SCDs), pipeline development (dbt, Airflow), and modern warehouse architecture (Snowflake, Databricks). These aren't resume keywords; they're tools you reach for daily You operate independently: You proactively identify what needs to be done, and drive ...

Advanced Python and SQL skills, with experience building modular, well‐tested and maintainable analytical code. Practical experience with cloud data platforms such as Snowflake, Databricks and/or Abacus. Excellent communication skills, with the ability to make complex methodologies and findings clear and meaningful to non‐technical audiences and senior ...