126 to 150 of 394 PySpark Jobs

knowledge (you don't need everything) Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/ ...

management, network design and access control; Databricks and OCI, or comparable platforms Strong Python and SQL, and experience building and monitoring production pipelines using PySpark or Spark Experience with infrastructure as code, CI/CD and a Git and GitHub workflow A track record of setting engineering standards ...

data engineering experience BigQuery, including partitioning, clustering and performance tuning Dataflow, Dataproc and Pub/Sub Cloud Composer/Apache Airflow Python and PySpark SQL Cloud Storage Terraform Git and CI/CD Experience with structured and unstructured data For more information or to apply directly, please email ...

client sites or in our office, with hybrid work plan of at least two days per week. Use tools such as Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI to deliver scalable, high‐performance applications. Qualifications Essential requirements A degree, Masters or PhD in data science, mathematics ...

data architecture, data warehousing and cloud data platforms Hands-on experience with Azure technologies Experience developing ETL/ELT solutions Experience with Python, PySpark, Microsoft Fabric, streaming technologies or large-scale enterprise environments would be advantageous. In return they are offering A salary of up to £50,000 Hybrid ...

Data Lake Storage (Gen2), Purview, Cosmos DB, OpenAI, AzureML, AIFoundry, Kubernetes Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark, database technologies, data modelling and SQL Confident communicator who is able to explain technical terms to non‐technical audiences and mentor junior colleagues Leads ...

fields.· Proven track record of designing, developing, and deploying AI systems in production environments.· Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers).· Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph.· Proven ...

experience with cloud data platforms such as Azure or AWS, with a focus on Databricks. Highly skilled with Pythonic data processing tools such as Pyspark and SparkSQL. Strong understanding of data modelling concepts relational and non-relational databases. Proficiency in SQL and experience with data integration and ETL tools. ...

ISx4 Group is seeking a Data Engineer specialized in Databricks to design and build scalable data pipelines. The role involves collaborating within an agile team to deliver high-quality data solutions for enterprise clients in ...

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 ...

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 ...

/GCP Exposure 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 technologies Exposure to cloud technologies Experience with ReactJS front-end development is a plus ...

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 ...

scaling patterns and reuse. Preferred qualifications, capabilities, and skillsExperience with modern data platforms such as Databricks or SnowflakeDeep hands-on experience with Spark/PySpark and other big data processing technologiesExpertise in open-source table formats and catalog services such as Apache IcebergExperience with LLM orchestration frameworks and model ...

Experience debugging moderately complex systems and improving reliability/performance Strong fundamentals: data structures, testing, version control, Linux basics Nice to have: Spark/PySpark experience Hadoop ecosystem exposure (HDFS/HBase) Workflow orchestration (Airflow/Dagster/NiFi) Search/indexing (OpenSearch, MongoDB) Kubernetes and infrastructure‐as‐code ...

knowledge (you don't need everything) Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/ ...

truth. You will design homogeneous data repositories and oversee pipelines, working within a hybrid office setup at One New Change, London. You will apply PySpark, Python, SQL, and Kimball modelling to support BI, ML, and analytics while following DevOps practices and data governance standards. Strong collaboration and communication ...

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 ...

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 ...

frameworks such as pytest Exposure to BDD (Behave) and/or TDD approaches Knowledge of ETL processes, data warehousing concepts, and tools such as PySpark (or similar) Experience working with cloud platforms such as AWS and/or Azure Familiarity with event-driven or data streaming technologies (e.g. Kafka ...

environment. What You'll Need: Strong experience as a Senior Azure Data Engineer An expert in Azure Databricks and Medallion Architecture Strong skills in PySpark, Python, Delta Lake and Unity Catalog Knowledge of Kimball data modelling, such as star schema, snowflake, etc. Strong SQL skills A flexible approach ...

experience with Databricks — running queries, navigating Unity Catalog, reading Spark job outputs and understanding what they mean for data quality Working knowledge of PySpark or Spark SQL — enough to read pipeline code, understand transformations, and trace where data issues originate Understanding of Lakehouse/medallion architecture (bronze-silver-gold ...