13 of 13 Remote/Hybrid Apache Spark Jobs in the South West

architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team ...

Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data ...

/Azure, Terraform, Kubernetes, CI/CD, Linux, automation, DevSecOps and SRE Data Engineering - Python, SQL, ETL/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI and production AI Technical Leadership - Senior/ ...

Building and maintaining data pipelines. Data modelling and warehousing fundamentals. dbt or similar modern transformation frameworks Experience with AWS data services. Exposure to Kafka, Spark, streaming data, or modern BI tools. Interest in AI, analytics engineering, and data products THE BENEFITS You will receive a salary ...

about you: Strong Python knowledge. Ability to read through code. Demonstrable experience collaborating with engineers. Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

effectively with technical teams including Data Scientists and MLOps Engineers. Desirable Skills Experience working with Data Science and/or MLOps environments. Experience with Apache Spark. Experience with Scala. Experience working with S3 and cloud storage technologies. Experience with graph databases. Experience with Elasticsearch. Experience with vector databases/ ...

Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. #J-18808-Ljbffr ...

Responsibilities Design, build and maintain secure and scalable data engineering solutions. Develop and maintain data ingestion and transformation pipelines using Python, SQL and Apache NiFi . Design data models, schemas and data contracts/Interface Control Documents (ICDs) . Integrate data from REST APIs and other source systems. Work … maintainable. Essential Experience Proven commercial experience delivering Data Engineering solutions in project or production environments. Strong Python and SQL skills. Hands-on experience with Apache NiFi and data pipeline orchestration. Data modelling and schema design. Parquet and S3-compatible object storage . REST API integration. OpenShift or Kubernetes . ...

DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including Python, Java, Scala, Spark and SQL. Write scripts, develop APIs and SQL queries, and contribute to the design and deployment of scalable cloud-based data platforms. Work closely … data environment. Strong experience with AWS cloud technologies and data engineering services. Hands-on experience with one or more of Python, Java, Scala, Spark and SQL. Experience working with large-scale structured and unstructured datasets. Understanding of data ingestion, processing, transformation and integration. Strong analytical and problem-solving skills. ...

DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including Python, Java, Scala, Spark and SQL. Write scripts, develop APIs and SQL queries, and contribute to the design and deployment of scalable cloud-based data platforms. Work closely … data environment. Strong experience with AWS cloud technologies and data engineering services. Hands-on experience with one or more of Python, Java, Scala, Spark and SQL. Experience working with large-scale structured and unstructured datasets. Understanding of data ingestion, processing, transformation and integration. Strong analytical and problem-solving skills. ...

iterative delivery—making pragmatic trade‐offs and documenting them clearly. Technology Stack Languages: Predominantly Python and Node.js Distributed/data platforms: HDFS, HBase, Spark, plus increasing use of Kubernetes and cloud services Storage/search: MongoDB, OpenSearch Orchestration: Airflow, Dagster, NiFi Tooling: GitHub, GitHub Actions, Rundeck, Jira, Confluence Deployment … plus) 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 ...