226 to 250 of 1,494 Databricks Jobs

with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic ...

Continuously learn and improve engineering practices What we’re looking for batch processing distributed data processing Experience with technologies such as: Kafka Flink Spark Databricks experience is a plus Experience implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing ...

/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted/eDV security clearance. Location ...

working within UK insurance sector data projects(underwriting, claims,policy, actuarial, delegations, bordereau,Lloyds syndicationetc). 2 years working with MS Azure data technologies (Databricks on Azure,Synapse,Purview, SQL, ADF, Fabric, Pythonetc). 6 months working with AI to augment or automate business process(RAG, classification, API and Prompt ...

code Distributed Data Processing Experience building and operating: batch processing systems distributed data systems near real-time streaming pipelines Familiarity with: Kafka Flink Spark Databricks experience is a strong plus Databases & Data Warehousing Comfortable working with: RDBMS data warehousing solutions Strong understanding of data modelling aligned with business needs Reliability ...

Fabric with Power BI - hands‐on Fabric experience is a strong advantage, but we care more that you have delivered on Synapse, Data Factory, Databricks or similar and can pick Fabric up fast. Data modelling depth: dimensional models and semantic layers built from messy, multi-source estates. You have taken ...

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. We recognise “data” is broad, that’s why we’re keen ...

communication and problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non-technical stakeholders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm ...

fast-paced environment Focus on delivering secure and scalable solutions Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Deep hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such ...

sprint-based, iterative delivery models and Agile tooling (e.g. Jira, Azure DevOps, Confluence) Exposure to cloud data platforms such as Snowflake, Azure Synapse, Databricks, or equivalent technologies is preferred Experience with data quality tools and master data domains (client, security, issuer, legal entity data) is a plus Pay range ...

work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data ...

Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on data engineering experience with Databricks and AWS Hands-on practical experience in system design, application development, testing, and operational stability Proficiency in coding in Python Solid understanding of agile methodologies ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant What We Are Looking ...

services, and scripting and automation using common libraries and frameworks relevant to the role Experience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration tools Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts Knowledge across the data lifecycle including ...

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 ...

code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats ...

executives Commitment to inclusive, collaborative teamwork Strong problem-solving and analytical skills Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Hands-on expertise with Spark/PySpark and big data processing technologies Knowledge of open-source table formats and catalog services such ...

DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ways of working, improve data application reliability ...

semantic consistency). Experience supporting quantitative or research consumers and performance-sensitive data access patterns. Some Cloud-based Data Analytics platform experience in Snowflake, Databricks or similar data cloud solutions. An AWS Certification is preferred, but not a perquisite. ABOUT US J.P. Morgan is a global leader in financial services ...

ability to influence senior technical leaders on safe scaling patterns and reuse. Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Deep hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services ...

real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks* Ability to think strategically and relate architectural decisions and recommendations to customer needs.* Ability to assess traditional and modern data architectural components based on business ...

hands‐on delivery. Finance Systems Ownership & Governance Own the administration, governance and strategic development of OneStream and other core Group Finance systems including NetSuite, Databricks, Navan and Power BI. Act as the Finance Systems Lead, ensuring systems remain aligned with business requirements, accounting standards and reporting obligations. Establish and maintain ...

expectations on data and AI. Experience with using data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Chat GPT, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...

Python, Business Intelligence platforms, or Product Analytics tools. Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks). A successful record of experience in sales engineering, customer success, client‐facing professional services, consulting, or technical project management. Excellent written, analytical, communication, and presentation ...

predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like ...