376 to 387 of 387 Permanent PySpark Jobs

this area will be required to support the Data Scientists to run a Proof of Concept (PoC) Migration Phase. Support in transforming Programme PySpark for the respective use cases, as part of migration preparation. Work collaboratively with nominated Data Scientists (Programme) to validate the functionality/performance … important the resources work collaboratively with the nominated Data Scientists to help with model/data pipeline build standardisation, issue resolution, etc. PySpark experience. The pipeline is written in PySpark, it is vital that the engineers can quickly get up to speed on the pipeline, advise on efficiency ...

leading Data Management consultancy in London seeks a skilled professional experienced in PySpark and Apache Spark for a hands-on role. You will work closely with clients and play a crucial part in developing innovative solutions using cloud technologies like AWS, Azure, and GCP. Excellent communication and ability ...

Data Engineer to join the Management Information (MI) team. You will build scalable data solutions in a hybrid cloud environment using AWS and PySpark, delivering analytics-ready data for reporting and decision-making. You will collaborate with analysts and data scientists, contribute to CI/CD, and help ensure ...

blend of experience is expected as the business transitions to Microsoft Fabric, with key skills and core technologies including: SQL, Microsoft Fabric, Python/PySpark, Data Factory, etc. Exposure to and working with AI based tools such as Microsoft Copilot will certainly enhance candidate applications. Managerial and leadership experience … forward your most recent CV for consideration. BIRMINGHAM/NOTTINGHAM/LEICESTER/MIDLANDS/DATA/SQL/MICROSOFT FABRIC/PYTHON/PYSPARK/DATA WAREHOUSE/DATA LAKE/DATA FACTORY/HOME/BIRMINGHAM/NOTTINGHAM/LEICESTER/MIDLANDS/DATA/SQL/ ...

pipelines covering data preparation, experimentation, training, evaluation, deployment, monitoring, and optimisation. Develop large-scale data processing and feature engineering solutions using technologies such as PySpark and Databricks. Create multimodal machine learning models that combine image, text, metadata, and behavioural data to enhance forecasting and AI capabilities. Collaborate with Applied … Strong Python software engineering expertise, including testing, code quality, and maintainable application development. Proven experience working with large-scale data processing technologies such as PySpark and Databricks. Strong background building end-to-end ML pipelines across the full machine learning lifecycle. Hands-on experience with deep learning frameworks including ...

champion best-practice methods; upskill the team through coaching and code reviews. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels. Collaborate with Modelling, Optimisation … problem solving capabilities with the ability to apply market standard pricing techniques to non-standard products. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Technical expertise in predictive modelling techniques e.g. GLMs. Experience with WTW Radar ...

Ceox in the United Kingdom is seeking a hands-on Senior Data Engineer to join a growing Data & Analytics practice. You will design, build, optimise and maintain enterprise-scale data solutions across the full data ...

hope you are doing well. Im reaching out regarding a Python PySpark Developer opportunity in McLean, VA 5 Days Onsite from Day 1. The role requires strong hands-on Python, PySpark/Spark, ETL/data pipelines, SQL, distributed data processing, data integration and production troubleshooting experience. Angular ...

DWP. You will work with modern AWS technologies to develop scalable data solutions powering reporting, analytics and strategic decision-making. You will build PySpark-based ETL pipelines on EMR, Lambda and EC2, collaborating with stakeholders to translate reporting requirements into robust data solutions. Hybrid working model with time split ...

much as building models. The Role You will: Build, validate and deploy machine learning and statistical models Work with Python, SQL, Databricks and PySpark to analyse large datasets Solve pricing and risk-related business challenges Explore new data sources and test innovative ideas Own projects from problem definition through … mentor junior Data Scientists Your Skills & Experience Strong commercial Data Science experience Advanced Python and SQL skills Experience with Databricks and/or PySpark Knowledge of machine learning techniques such as XGBoost and LightGBM Strong statistical modelling capability Excellent problem-solving and stakeholder management skills Experience in insurance, financial ...

data products — from client scoping and solution design to execution and ongoing delivery. Ensure high analytical and technical standards across the team, including SQL, PySpark, Python, and data validation best practices. Act as an escalation point for complex analytical challenges, providing hands‐on guidance where needed. Partner closely with … perfect job for someone who has: Proven experience managing and mentoring data analysts or analytics teams. Strong hands‐on experience with SQL and PySpark for data analysis — Must. Strong Python scripting experience — Must. Excellent communication skills in English, with the ability to translate complex analysis into clear business insights. ...

. The role focuses on building data models and pipelines in Snowflake, including Snowflake ML, and collaborating with Data Scientists to migrate and validate PySpark-based use cases during the September–December window. Ideal candidates will bring Snowflake expertise, PySpark experience, and DBT knowledge. #J-18808-Ljbffr ...