13 of 13 Remote/Hybrid Hadoop Jobs in the UK

Cloud) Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) Strong problem-solving and analytical skills Preferred Skills Experience with big data technologies (e.g., Hadoop, Spark) Knowledge of data modeling techniques and schema design Familiarity with containerization tools (Docker, Kubernetes) Experience with CI/CD pipelines and DevOps practices ...

Cloud) Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) Strong problem-solving and analytical skills Preferred Skills Experience with big data technologies (e.g., Hadoop, Spark) Knowledge of data modeling techniques and schema design Familiarity with containerization tools (Docker, Kubernetes) Experience with CI/CD pipelines and DevOps practices ...

data warehousing, OLTP systems, data integration, and the software development lifecycle (SDLC). Hands-on experience with big data frameworks such as Spark, Hadoop, or Hive, including derivatives like PySpark (preferred), Spark Scala, or Spark SQL, along with familiarity with development-accelerating libraries and frameworks. Experience using data modelling … tools such as ERwin, ER/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data Factory, HDInsight, Cloud Composer, Data Pipeline, or equivalent. ...

data warehousing, OLTP systems, data integration, and the software development lifecycle (SDLC). Hands-on experience with big data frameworks such as Spark, Hadoop, or Hive, including derivatives like PySpark (preferred), Spark Scala, or Spark SQL, along with familiarity with development-accelerating libraries and frameworks. Experience using data modelling … tools such as ERwin, ER/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data Factory, HDInsight, Cloud Composer, Data Pipeline, or equivalent. ...

About the Job you are considering: Results-driven Hadoop Data Engineer with experience designing, developing, and maintaining large-scale data processing solutions for financial services organizations. Skilled in building robust data pipelines, managing big data platforms, and transforming high-volume structured and unstructured financial data into actionable insights. Proficient … Hadoop ecosystem technologies including HDFS, Hive, Spark, Sqoop, Kafka, Oozie, and YARN , along with SQL and cloud-based data platforms Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend ...

About the Job you are considering: Results-driven Hadoop Data Engineer with experience designing, developing, and maintaining large-scale data processing solutions for financial services organizations. Skilled in building robust data pipelines, managing big data platforms, and transforming high-volume structured and unstructured financial data into actionable insights. Proficient … Hadoop ecosystem technologies including HDFS, Hive, Spark, Sqoop, Kafka, Oozie, and YARN , along with SQL and cloud-based data platforms Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend ...

About the Job you are considering: Results-driven Hadoop Data Engineer with experience designing, developing, and maintaining large-scale data processing solutions for financial services organizations. Skilled in building robust data pipelines, managing big data platforms, and transforming high-volume structured and unstructured financial data into actionable insights. Proficient … Hadoop ecosystem technologies including HDFS, Hive, Spark, Sqoop, Kafka, Oozie, and YARN , along with SQL and cloud-based data platforms Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend ...

About the Job you are considering: Results-driven Hadoop Data Engineer with experience designing, developing, and maintaining large-scale data processing solutions for financial services organizations. Skilled in building robust data pipelines, managing big data platforms, and transforming high-volume structured and unstructured financial data into actionable insights. Proficient … Hadoop ecosystem technologies including HDFS, Hive, Spark, Sqoop, Kafka, Oozie, and YARN , along with SQL and cloud-based data platforms Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend ...

multiple teams. Who we’re looking for: Experience of working in a Data Democratization environment Technical skills in big data, GCP (or AWS, Azure, Hadoop) and an awareness of data ingestion tooling and near real time ingestions. Communicate clearly between internal and external teams Experience in coaching teams ...

multiple teams. Who we’re looking for: Experience of working in a Data Democratization environment Technical skills in big data, GCP (or AWS, Azure, Hadoop) and an awareness of data ingestion tooling and near real time ingestions. Communicate clearly between internal and external teams Experience in coaching teams ...

multiple teams. Who we’re looking for: Experience of working in a Data Democratization environment Technical skills in big data, GCP (or AWS, Azure, Hadoop) and an awareness of data ingestion tooling and near real time ingestions. Communicate clearly between internal and external teams Experience in coaching teams ...

multiple teams. Who we’re looking for: Experience of working in a Data Democratization environment Technical skills in big data, GCP (or AWS, Azure, Hadoop) and an awareness of data ingestion tooling and near real time ingestions. Communicate clearly between internal and external teams Experience in coaching teams ...

Data Platform technologies. Experience operating within Data Product, Data Platform or Enterprise Data environments. Financial Services experience. Knowledge of legacy platform migration initiatives including Hadoop, Teradata, Oracle or SAS environments. Experience working within data governance, security and regulatory environments ...