76 to 100 of 201 PySpark Jobs

securityPractical cloud-native experiencePreferred Qualifications, Capabilities, and Skills:Experience with modern data technologies such as Databricks or SnowflakeHands-on experience with Spark/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning ...

/Azure/GCPExposure to LLM models like ChatGPT, Google Bard etc.Exposure to Langchain, RAG and Fine Tuning of the LLM Models.Exposure to PySpark and Databricks for Data pipeline creation. Familiarity with modern front-end technologiesExposure to cloud technologiesExperience with ReactJS front-end development is a plusJ.P. Morgan ...

Hybrid in The United Kingdom: LondonData Software EngineeringapplyWe're looking for a Senior Data Engineer – Tech Lead (Databricks, PySpark) to join our team in London, UK, in a hybrid working mode.In this role, you will lead the design, development and optimization of scalable cloud-native data architectures, focusing … Azure Databricks, PySpark and Lakehouse principles. You will work hands-on to deliver performant data solutions for high-volume workloads, ensuring governance, reliability and best practices for enterprise-grade platforms.As a technical leader, you will define data strategies, drive modernization initiatives and mentor engineers, fostering excellence and innovation throughout ...

MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management. Strong Python experience, with helpful knowledge of Spark or PySpark for working with large‐scale data and machine learning systems. An understanding of feature stores and related data technologies used to support operational machine ...

MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management.Strong Python experience, with helpful knowledge of Spark or PySpark for working with large-scale data and machine learning systems.An understanding of feature stores and related data technologies used to support operational machine learning products.Clear ...

also a key driver in translating Vision and Data Strategy into IT solutions and delivering on them. Strong hands-on expertise in Databricks, PySpark, Python and SQL is central to this role. Key Skills: Azure Stack ELT Experience Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub ...

methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing: Fact and dimension tables Star and snowflake schemas Aggregation layers ...

experience with Azure AI Search or other vector/hybrid search solutions, including vector search, hybrid search, and retrieval evaluation. Experience with Databricks and PySpark for large‐scale data processing. Experience designing evaluation frameworks for LLM systems, including offline metrics, hallucination detection, and production monitoring. Experience implementing responsible ...

apply for travel visas as required by travel needsPreferred qualifications • Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark • Experience generating new knowledge or creating innovative solutions for a firm • Relevant industry expertise • Working knowledge of Cloud platforms (AWS; Azure; Google Coud ...

delivery · Prepare and structure data so that it can be used effectively by AI-enabled analytics and data platform capabilities. · Work with SQL, Python, PySpark, notebooks or platform-native tooling to transform, test and expose data for downstream AI and analytics use cases. · Collaborate with data engineers and architects … understanding of data engineering or analytics engineering concepts, including data modelling, pipelines, ELT/ETL, data quality and analytical data products. · Experience using Python, PySpark, notebooks or equivalent platform tooling for data preparation, analysis, testing or automation. · Understanding of semantic models, business definitions, metrics, metadata and how they improve ...

cloud‐native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine ...

securityPractical cloud-native experiencePreferred Qualifications, Capabilities, and Skills:Experience with modern data technologies such as Databricks or SnowflakeHands-on experience with Spark/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning ...

datasets & commercial forecasting processes.Familiarity with web-analytics tools & optimizing user interfaces.Experience with survey exchange platforms or online market research products.Experience with Databricks, Spark, or PySpark for scalable data processing.Additional Information#LI-Remote#LI-JC1Our ValuesCollaboration is our superpowerWe uncover rich perspectives across the worldSuccess happens togetherWe deliver across borders.Innovation ...

LLMs for open-end generation.Experience with probabilistic modeling, or advanced profiling techniques.Familiarity with online market research or survey exchange platforms.Experience using Databricks, Spark, or PySpark for large-scale workflows.Additional Information#LI-RemoteOur ValuesCollaboration is our superpowerWe uncover rich perspectives across the worldSuccess happens togetherWe deliver across borders.Innovation ...

complex data led organisation* Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design ...

complex data led organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design ...

complex data led organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design ...

solution design, workshops and Proof of Concepts. What you'll bring: Proven experience designing enterprise data platforms using Microsoft Fabric. Strong knowledge of Spark, PySpark, Delta Lake, SQL and modern data engineering. Expertise with Microsoft Azure Excellent stakeholder management and consultancy experience. What's in it for you? 📍Remote ...

Azure Data Platform and Databricks ecosystem. The ideal candidate should have strong hands-on experience with Structured Streaming, Delta Live Tables (DLT), PySpark architecture, Python, and SQL, and a proven track record of delivering large-scale enterprise data platforms. Youll be responsible for: Leading the design, development, and implementation ...

Skills – Able to extract meaningful insights from complex datasets and demonstrate clear business impact. Technical Expertise – Strong experience with SQL, Power BI, Python/PySpark; Databricks is a plus but not essential. Stakeholder Management – Confident in engaging with senior stakeholders, translating data into compelling narratives that drive business decisions. ...

datasets for modelling and analysis. Strong background in NLP and GenAI techniques, including text classification, summarization, and embeddings. Advanced proficiency in SQL, Python, and PySpark, with a focus on software development best practises. Experience deploying data science models in a cloud environment (Azure preferred). Familiarity with database management ...

working partners.Technical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Python (Jupyter Notebook, Pandas, PySpark, etc.), Databricks, Bloomberg, Pitchbook, or other common financial services systems and applications.Our Values Act Like an Owner - Think and operate with intention, purpose ...

also contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction.Job responsibilitiesDesign scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow … data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform ...

responsibilitiesDesign and implement batch and streaming data pipelines using Databricks (Spark), Delta Lake, and orchestrators (e.g., Workflows, Airflow, ADF).Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability, and cost efficiency.Build and maintain curated data models (bronze/silver/gold), data quality checks … realized by automationRequired qualifications, skills and capabilitiesExperience with building data pipelines on Databricks and/or Apache Spark in production.Strong coding skills in Python (PySpark) and SQL (Scala a plus).Hands-on experience with Delta Lake (MERGE/UPSERT patterns, schema evolution, partitioning, Z-ORDER, OPTIMIZE/VACUUM).Experience ...

Senior Data Engineer Who we areArtefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain ...