1 to 25 of 26 Apache Spark Jobs in the East of England

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

solutions.• Pipeline Development: Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools like Apache Spark to ensure seamless data flow.• Monitoring and Failure Recovery: Implement monitoring procedures to detect failures or unusual data profiles and establish recovery ...

/Q or similar Experience with Airflow, Dagster or similar tools. Exposure to container technologies: Docker, Podman etc Knowledge of 'big data' technologies (Hadoop, Spark, Parquet) Experience with TAQ data, and exchange connectivity. Compensation Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible ...

/Q or similar Experience with Airflow, Dagster or similar tools. Exposure to container technologies: Docker, Podman etc Knowledge of 'big data' technologies (Hadoop, Spark, Parquet) Experience with TAQ data, and exchange connectivity. Compensation Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible ...

/Q or similar Experience with Airflow, Dagster or similar tools. Exposure to container technologies: Docker, Podman etc Knowledge of 'big data' technologies (Hadoop, Spark, Parquet) Experience with TAQ data, and exchange connectivity. Compensation Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible ...

/Q or similar Experience with Airflow, Dagster or similar tools. Exposure to container technologies: Docker, Podman etc Knowledge of 'big data' technologies (Hadoop, Spark, Parquet) Experience with TAQ data, and exchange connectivity. Compensation Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible ...

/Q or similar Experience with Airflow, Dagster or similar tools. Exposure to container technologies: Docker, Podman etc Knowledge of 'big data' technologies (Hadoop, Spark, Parquet) Experience with TAQ data, and exchange connectivity. Compensation Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible ...

/Q or similar Experience with Airflow, Dagster or similar tools. Exposure to container technologies: Docker, Podman etc Knowledge of 'big data' technologies (Hadoop, Spark, Parquet) Experience with TAQ data, and exchange connectivity. Compensation Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible ...

Requirements: Technical expertise in designing, building, and maintaining data pipelines and warehouses Experience with ETL/ELT frameworks and Big Data Processing Tools (e.g., Spark, Airflow, Hive) Knowledge of programming languages (e.g., Python, SQL) Hands-on experience with SQL/NoSQL database design Degree in a STEM field ...

DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

Documentation. Your Profile Essential Skills/Knowledge/Experience Strong working and technical knowledge of GCP (GCS Buckets, BigQuery, Dataproc, Pub/Sub), Airflow, Spark, PySpark, Spark SQL, Hive. Good knowledge of Python (Pandas, NumPy, Wiresafe), SQL, Linux CLI, BigQuery. Experience with DBMS, Delta Tables, Oracle, MS Access ...

Documentation. Your Profile Essential Skills/Knowledge/Experience Strong working and technical knowledge of GCP (GCS Buckets, BigQuery, Dataproc, Pub/Sub), Airflow, Spark, PySpark, Spark SQL, Hive. Good knowledge of Python (Pandas, NumPy, Wiresafe), SQL, Linux CLI, BigQuery. Experience with DBMS, Delta Tables, Oracle, MS Access ...

Documentation. Your Profile Essential Skills/Knowledge/Experience Strong working and technical knowledge of GCP (GCS Buckets, BigQuery, Dataproc, Pub/Sub), Airflow, Spark, PySpark, Spark SQL, Hive. Good knowledge of Python (Pandas, NumPy, Wiresafe), SQL, Linux CLI, BigQuery. Experience with DBMS, Delta Tables, Oracle, MS Access ...

Documentation. Your Profile Essential Skills/Knowledge/Experience Strong working and technical knowledge of GCP (GCS Buckets, BigQuery, Dataproc, Pub/Sub), Airflow, Spark, PySpark, Spark SQL, Hive. Good knowledge of Python (Pandas, NumPy, Wiresafe), SQL, Linux CLI, BigQuery. Experience with DBMS, Delta Tables, Oracle, MS Access ...

Documentation. Your Profile Essential Skills/Knowledge/Experience Strong working and technical knowledge of GCP (GCS Buckets, BigQuery, Dataproc, Pub/Sub), Airflow, Spark, PySpark, Spark SQL, Hive. Good knowledge of Python (Pandas, NumPy, Wiresafe), SQL, Linux CLI, BigQuery. Experience with DBMS, Delta Tables, Oracle, MS Access ...