26 to 50 of 82 Permanent PySpark Jobs

of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Pyspark, Databricks Commercial experience with performant database programming in SQL Capability to solve complex technical issues, comprehending risks prior to the circumstance. Please apply today more »

of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable. • Coding Languages - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. Their lovely offices are based in the West Midlands more »

data integration pipelines, transformations, pipeline scheduling, Ontology, and applications in Palantir Foundry Design, develop and deploy data solutions in Palantir with excellent skills in PySpark and Spark SQL for data transformations Experience in designing and building interactive data applications working with Ontology, actions, functions, object views, automate, indexing, data more »

Modeling within a cloud-based data platform Strong experience with SQL Server Azure data engineering stack, including Azure Synapse and Azure Data Lake Python, PySpark and T-SQL In return you will be offered a competitive salary and benefits package, remote working options and an opportunity to work with more »

experience-related problems such as workforce management, demand forecasting, or root cause analysis Strong visualisation skills including experience with Tableau Familiarity with Databricks and PySpark for data manipulation and analysis Familiarity with Git-based source control methodologies, including branching and pull requests A self-starter, passionate about converting data more »

Mart. Utilize Vector Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/… environments, Azure Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such more »

scientific Python toolset. Our tech stack includes Airbyte for data ingestion, Prefect for pipeline orchestration, AWS Glue for managed ETL, along with Pandas and PySpark for pipeline logic implementation. We utilize Delta Lake and PostgreSQL for data storage, emphasizing the importance of data integrity and version control in our … testing frameworks. Proficiency in Python and familiarity with modern software engineering practices, including 12factor, CI/CD, and Agile methodologies. Deep understanding of Spark (PySpark), Python (Pandas), orchestration software (e.g. Airflow, Prefect) and databases, data lakes and data warehouses. Experience with cloud technologies, particularly AWS Cloud services, with a more »

experience leading a data engineering team. Key Tech: - AWS (S3, Glue, EMR, Athena, Lambda) - Snowflake, Redshift - DBT (Data Build Tool) - Programming: Python, Scala, Spark, PySpark or Ab Initio - Data pipeline orchestration (Apache Airflow) - Knowledge of SQL This is a 6 month initial contract with a trusted client of ours. more »

come with scaling a company • The ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelines • Excellent knowledge of PySpark, Python and SQL fundamentals • Experience in contributing to complex shared repositories. What’s nice to have: • Prior early-stage B2B SaaS experience involving client more »

start interviewing ASAP. Responsibilities: Azure Cloud Data Engineering using Azure Databricks Data Warehousing Data Engineering Very strong with the Microsoft Stack ESSENTIAL knowledge of PySpark clusters Python & C# Scripting experience Experience of message queues (Kafka) Experience of containerization (Docker) FINANCIAL SERVICES EXPERIENCE (Energy/commodities trading) If you have more »

STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory. more »

or similar frameworks. Problem-Solving : Strong problem-solving skills and the ability to think quickly in a dynamic environment. Technical Skills: Proficiency in Python, PySpark, Synapse, DataBricks Strong SQL skills. CI/CD practices PyTest or similar Desirable Skills and Experience: Azure/Cloud services Jenkins, Octopus, and Git. more »

Strong experience in data pipelines and deploying ML models Preference for experience in retail/marketing but not required Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Experience in feature engineering and third-party data Apply below more »

STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register more »

STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register more »

experience in PowerBi would also be useful. You will be a Engineer with past experience with java, data, and infrastructure (devOps). Java, Python, PySpark Mechanisms: MongoDB, Redshift, AWS S3 Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have) Platforms: Creating data pipelines within Databricks or equivalent more »

/marketing but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Apply below more »

vision to convert data requirements into logical models and physical solutions. with data warehousing solutions (e.g. Snowflake) and data lake architecture, Azure Databricks/Pyspark & ADF. retail data model standards - ADRM. communication skills, organisational and time management skills. to innovate, support change and problem solve. attitude, with the ability more »

directly with clients. Supporting clients in platform discovery, integration, training, and collaboration on data science projects. Proficiency in technical skills, particularly Python, R, SQL, Pyspark, and JavaScript. Assisting users in mastering the platform. Analysing diverse data and ML applications. Providing strategic insights to ensure customer success. Collaborating with customers more »

preferably GCP | Expertise in event-driven data integrations and click-stream ingestion | Proven ability in stakeholder management and project leadership | Proficiency in SQL, Python, PySpark | Solid background in data pipeline orchestration, data access, and retention tooling | Demonstrable impact on infrastructure scalability and data privacy initiatives | Collaborative spirit | Innovative problem more »

contract position. If you possess a solid background in software application development, with experience in cloud or microservice architecture, and proficiency in Python or PySpark, we encourage you to apply. Python App Developer Requirements: Proficiency with Python or PySpark. Exposure to cloud technologies such as Airflow, Astronomer, Kubernetes, AWS more »

incorrect or not received on time. outages with the end users of a data pipeline What We Value reading and writing code in Python, Pyspark and Java. understanding of Spark and interested in learning the basics of tuning Spark jobs. pipeline monitoring team members should be able to use more »

advice to analytical users on how they can access and utilise the new datasets. Qualities Comfortable with Python - ideally experience with Apache Spark and Pyspark Previous data analytics software experience Able to scope new integrations and translate analytical user needs into technical requirement. UK based – data analytics system can more »

of 4 years commercial experience Strong proficiency in AWS and relevant technologies Good communication skills Preferably experience with some or all of the following; Pyspark, Kubernetes, Terraform Expeirence in a start-up/scale up or fast-paced environment is desirable. HOW TO APPLY Please register your interest by more »

to the table. Key Responsibilities Engineer and orchestrate data flows & pipelines in a cloud environment using a progressive tech stack e.g. Databricks, Spark, Python, PySpark, Delta Lake, SQL, Logic Apps, Azure Functions, ADLS, Parquet, Neo4J, Flask Ingest and integrate data from a large number of disparate data sources Design … Spark/Databricks or similar Experience working in a cloud environment (Azure, AWS, GCP) Experience in at least one of: Python (or similar), SQL, PySpark Experience in building data pipeline/ETL/ELT solutions Ability and strong desire to research and learn new technologies and languages Interest in more »