26 to 50 of 85 Permanent PySpark Jobs

on very complex systems Strong experience with Computer vision Longevity in their previous roles Experience with Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »

experience as a Data Engineer. 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 »

I have placed quite a few candidates with this organisation now, all have said glowing reviews about it, they're the leader in legal representation comparison and have rather interesting, unique data to work with. They are using modern Azure more »

months to begin with & its extendable Location: Leeds, UK (min 3 days onsite) Context: Legacy ETL code for example DataStage is being refactored into PySpark using Prophecy low-code no-code and available converters. Converted code is causing failures/performance issues. Skills: Spark Architecture – component understanding around Spark … Data Integration (PySpark, scripting, variable setting etc.), Spark SQL, Spark Explain plans. Spark SME – Be able to analyse Spark code failures through Spark Plans and make correcting recommendations. Spark SME – Be able to review PySpark and Spark SQL jobs and make performance improvement recommendations. Spark – SME Be able … are Cluster level failures. Cloudera (CDP) – Knowledge of understanding how Cloudera Spark is set up and how the run time libraries are used by PySpark code. Prophecy – High level understanding of Low-Code No-Code prophecy set up and its use to generate PySpark code. more »

Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Iceberg PySpark MWAA Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives … Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Iceberg PySpark MWAA Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives more »

Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Iceberg PySpark MWAA Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives … Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Iceberg PySpark MWAA Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives more »

Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Iceberg PySpark MWAA Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives … Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Iceberg PySpark MWAA Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives more »

Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline and CodeBuild more »

and industry standards for the organization. Strong experience on Azure cloud services like Azure, ADF, ADLS, Synapse Proficiency in querying languages such as SQL, Pyspark, Python and familiarity with data visualization tools (e.g. Power BI). Strong communication skills to gather the business requirements from stakeholder and propose best 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 »

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 »

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 »

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 »

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 »

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 »

Python, PySpark, AWS, Oracle, Kafka, Banking Become a key member of an agile team designing and delivering a market-leading secure and scalable reporting product. The team is migrating from Oracle to AWS cloud so experience with either is nice to have. You serve as a seasoned member of … candidates able to work under these requirements without visa sponsorship will be able to be considered at this time. Required skills: - Either Python or PySpark experience. Ideally, you will be working as either a Python Developer (3+ years) or Data Engineer using PySpark - Either AWS or Oracle. Candidates more »

Discover a career in your hands at HMRC. Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what its really more »

prem, but the direction of travel is cloud engineering. You'll be executing code in different places across the following tech stack: Azure, Databricks, PySpark and Pandas. You will steer the data engineering function within a wider product team. There'll be lots of connecting and interaction with stakeholders … inclusive environment where you can grow your career and make a real difference. Essential criteria: Enterprise-scale experience with Azure data engineering tools, Databricks, PySpark and Pandas Experience of data modelling and transforming raw data into datasets Experience of building team capability through role modelling, mentoring, and coaching Able more »

prem, but the direction of travel is cloud engineering. You'll be executing code in different places across the following tech stack: Azure, Databricks, PySpark and Pandas. You will steer the data engineering function within a wider product team. There'll be lots of connecting and interaction with stakeholders … inclusive environment where you can grow your career and make a real difference. Essential criteria: Enterprise-scale experience with Azure data engineering tools, Databricks, PySpark and Pandas Experience of data modelling and transforming raw data into datasets Experience of building team capability through role modelling, mentoring, and coaching Able more »

prem, but the direction of travel is cloud engineering. You'll be executing code in different places across the following tech stack: Azure, Databricks, PySpark and Pandas. You will steer the data engineering function within a wider product team. There'll be lots of connecting and interaction with stakeholders … inclusive environment where you can grow your career and make a real difference. Essential criteria: Enterprise-scale experience with Azure data engineering tools, Databricks, PySpark and Pandas Experience of data modelling and transforming raw data into datasets Experience of building team capability through role modelling, mentoring, and coaching Able more »

prem, but the direction of travel is cloud engineering. You'll be executing code in different places across the following tech stack: Azure, Databricks, PySpark and Pandas. You will steer the data engineering function within a wider product team. There'll be lots of connecting and interaction with stakeholders … inclusive environment where you can grow your career and make a real difference. Essential criteria: Enterprise-scale experience with Azure data engineering tools, Databricks, PySpark and Pandas Experience of data modelling and transforming raw data into datasets Experience of building team capability through role modelling, mentoring, and coaching Able more »

warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline more »

warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline more »

Banking and Financial Services sector is advantageous. • Deep knowledge or experience with using as much of the following: • Azure Cloud Data Components | Databricks | Python | PySpark | Terraform | APIs | Lakehouse | Data Mesh | Nosql DBs | GitHub Person Specification • Self motivator with a desire to learn new skills and embrace new technologies in more »

Cycle · Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills: · Skilled with Python or PySpark · Exposure to cloud technologies (Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka) · Experience with Big Data solutions or Relational DB. · Experience in Financial Service Industry is more »