1 to 25 of 38 PySpark Jobs with Hybrid or WFH Options

experience of this is a strong preference. However other Cloud platFforms like AWS/GCP are acceptable. Coding - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. What’s next? If you believe you have the more »

experience of writing clean, well-documented, and unit-tested python ETL processes to read, transform, and verifying data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake, Azure Machine Learning, Data Factory. Azure is preferable, but AWS and GCP experience more »

experience of writing clean, well-documented, and unit-tested python ETL processes to read, transform, and verifying data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake, Azure Machine Learning, Data Factory. Azure is preferable, but AWS and GCP experience more »

the insurance domain is advantageous. - Education : A degree in Computer Science, Data Science, Engineering, or a related discipline. Technical Skills : Proficient in Python, SQL, PySpark, and Databricks. Demonstrated proficiency in modern NLP techniques and tools. Proven track record in developing and managing data quality metrics and dashboards. Experience collaborating more »

standardise the Data Warehouse environment and solutions. Required Skills, Knowledge, and Experience: Experience designing, developing, and testing Azure Data Factory/Fabric pipelines, including PySpark Notebooks and Dataflow Gen2 workflows. Previous experience with Informatica Power Centre is desired. Significant experience in designing, writing, editing, debugging, and testing SQL code more »

V2, Azure Databricks, Azure Function Apps& Logic Apps, Azure Stream Analytics, Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity Catalog and Python skills. Includes ability to write unit and integration tests in Python with unittest, pytest, etc. Strong understanding of more »

applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python & SQL. Experience with big data technologies and tools, particularly Databricks and Pyspark, is highly desirable. Experience in agile software development processes is a plus. Experience in insurance, cyber, or a related domain is ideal. Understanding of more »

Ability to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working more »

standardise the Data Warehouse environment and solutions. Required Skills, Knowledge, and Experience: Experience designing, developing, and testing Azure Data Factory/Fabric pipelines, including PySpark Notebooks and Dataflow Gen2 workflows. Previous experience with Informatica Power Centre is desired. Significant experience in designing, writing, editing, debugging, and testing SQL code more »

can offer you exposure to the latest technologies. We are looking for a senior Data Engineer who has solid Python skills as well as Pyspark, DataBricks and SQL, as well as Data Modeling, and Azure Data Factors . Azure Devops would be a distinct advantage. Strong communication and business more »

that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors Degree more »

Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a consultative approach Ability to deliver high to low-level designs for Data more »

Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a consultative approach Ability to deliver high to low-level designs for Data more »

tools and technologies, including - Demonstrable professional Data experience Experience of working with semi or unstructured data sets like JSON Excellent understanding of DataBricks and PySpark Excellent understanding of SQL and CosmosDB databases Excellent knowledge of designing, constructing, administering, and maintaining data warehouses and data lakes. Knowledge of Azure Cloud more »

GitHub for version control, you will champion DevOps practices to ensure seamless collaboration and automation across the data engineering lifecycle. Your proficiency in SQL, PySpark, and Python will be helpful in transforming raw data into valuable insights, while your familiarity with Kafka will enable real-time data processing capabilities. … responsibilities: Lead the design, development, and maintenance of Azure-based data pipelines and analytical solutions using Databricks, Synapse, and other relevant services. Leverage SQL, PySpark, and Python to perform data transformations, aggregations, and analysis on large datasets. Architect data storage solutions using Azure SQL Database, Azure Data Lake Storage more »

and ensuring best practices and understood and followed. Technical Skills and Qualifications Expert knowledge in python including libraries/frameworks such as pandas, numpy, pyspark Good understanding of OOP, software design patterns, and SOLID principles Good experience in Docker Good experience in Linux Good experience in Airflow Good knowledge more »

Senior Data Engineer Remote working Salary £65,000 - £70,000 plus benefits DataBricks, PySpark, SQL We are looking for a talented Senior Data Engineer to join one of the UK's leading research and law ranking companies at an exciting time of growth. Build new products, engineer new solutions 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 »

designing and constructing robust data pipelines using the best of open-source data engineering and scientific Python toolset. Tech Stack: Airbyte AWS Glue Pandas Pyspark Delta Lake PostgreSQL The team follows agile ways of working and you engage with various stakeholders across the business. The role is Hybrid more »

snowflake schemas. Knowledge of DevOps practices within a Power BI environment. Familiarity with Microsoft Fabric & Databricks. SQL databases expertise, data engineering with Python and PySpark, and knowledge of geospatial concepts and tools. As part of this engagement, you will work on initiatives that redefine business efficiency through AI. You more »

snowflake schemas. Knowledge of DevOps practices within a Power BI environment. Familiarity with Microsoft Fabric & Databricks. SQL databases expertise, data engineering with Python and PySpark, and knowledge of geospatial concepts and tools. As part of this engagement, you will work on initiatives that redefine business efficiency through AI. You more »

candidate needs experience and confidence to speak up when several teams can be involved in delivering the project. There is a massive emphasis on Pyspark and Databricks for this particular role. Technical Skills Required: Azure (ADF, Functions, Blob Storage, Data Lake Storage, Azure Data Bricks) Databricks Spark Delta Lake … SQL Python PySpark ADLS Day To Day Responsibilities: Extensive experience in designing, developing, and managing end-to-end data pipelines, ETL (Extract, Transform, Load), and ELT (Extract, Load, Transform) solutions. Maintains a proactive approach to staying updated with emerging technologies and a strong desire to continuously learn and adapt 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 »

data experience Data inventory and data familiarisation Efficient data ingestion and ingestion pipelines Data cleaning and transformation Databricks (ideally with Unity Catalog) Python and PySpark CI/CD (ideally with Azure Devops) Unit testing (PyTest) If you have the above experience and are looking for a new contract role 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 »