9 of 9 Amazon EMR Jobs in the North of England

experience in data engineering or a similar role. • Hands-on experience with core AWS data services (for example S3, Glue, Athena, Lambda, IAM, EMR). • Strong SQL skills (joins, window functions, optimization). • Solid Python for data processing. • Experience building production ETL/ELT pipelines. • Working knowledge of security ...

many of the following: - Expertise in designing production-grade data pipelines using Python, Scala, Spark, and SQL - Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) - Experience with data processing across structured and unstructured sources - Strong scripting abilities and API integration skills - Knowledge of data visualization ...

Java). Expertise in Spark and distributed data processing frameworks. Proficiency with ML libraries such as PyTorch and TensorFlow. Experience with cloud platforms (AWS, EMR, Kubernetes, Docker) and ML platforms (Databricks, SageMaker). Familiarity with workflow management tools (e.g., Airflow). Strong understanding of software design principles, data structures ...

Java). Expertise in Spark and distributed data processing frameworks. Proficiency with ML libraries such as PyTorch and TensorFlow. Experience with cloud platforms (AWS, EMR, Kubernetes, Docker) and ML platforms (Databricks, SageMaker). Familiarity with workflow management tools (e.g., Airflow). Strong understanding of software design principles, data structures ...

Java). Expertise in Spark and distributed data processing frameworks. Proficiency with ML libraries such as PyTorch and TensorFlow. Experience with cloud platforms (AWS, EMR, Kubernetes, Docker) and ML platforms (Databricks, SageMaker). Familiarity with workflow management tools (e.g., Airflow). Strong understanding of software design principles, data structures ...

Java). Expertise in Spark and distributed data processing frameworks. Proficiency with ML libraries such as PyTorch and TensorFlow. Experience with cloud platforms (AWS, EMR, Kubernetes, Docker) and ML platforms (Databricks, SageMaker). Familiarity with workflow management tools (e.g., Airflow). Strong understanding of software design principles, data structures ...

Java). Expertise in Spark and distributed data processing frameworks. Proficiency with ML libraries such as PyTorch and TensorFlow. Experience with cloud platforms (AWS, EMR, Kubernetes, Docker) and ML platforms (Databricks, SageMaker). Familiarity with workflow management tools (e.g., Airflow). Strong understanding of software design principles, data structures ...

Java). Expertise in Spark and distributed data processing frameworks. Proficiency with ML libraries such as PyTorch and TensorFlow. Experience with cloud platforms (AWS, EMR, Kubernetes, Docker) and ML platforms (Databricks, SageMaker). Familiarity with workflow management tools (e.g., Airflow). Strong understanding of software design principles, data structures ...

Java). Expertise in Spark and distributed data processing frameworks. Proficiency with ML libraries such as PyTorch and TensorFlow. Experience with cloud platforms (AWS, EMR, Kubernetes, Docker) and ML platforms (Databricks, SageMaker). Familiarity with workflow management tools (e.g., Airflow). Strong understanding of software design principles, data structures ...