8 of 8 Remote/Hybrid Apache Hive Jobs in London

robust, efficient, and ready to support advanced analytics and business insights. Responsibilities Design, develop, and implement large-scale data pipelines using tools such as Apache Spark, Hadoop, and Apache Hive to process vast amounts of structured and unstructured data. Collaborate with cross-functional teams to understand data … with SQL-based databases including Oracle and Microsoft SQL Server; solid understanding of database design principles. Familiarity with big data frameworks like Hadoop, Spark, Apache Hive, and related ecosystem components. Experience working with ETL tools such as Informatica for data integration tasks. Demonstrated ability to analyze complex datasets ...

Points For Expertise in data modelling, schema design, and working with structured and semi‐structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating cloud-based ingestion and transformation frameworks. Experience delivering data engineering solutions within highly regulated industries such ...

Points For Expertise in data modelling, schema design, and working with structured and semi-structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating ingestion and transformation frameworks within cloud-native data platforms. Experience delivering solutions within highly regulated industries ...

design, design patterns, core programming concepts Experience delivering analytical use cases in a cloud-based environment Bonus experience Exposure to Hadoop technologies (e.g., HDFS, Hive, HBase) or experience with high-volume, low-latency data storage and analytics platforms Exposure to GCP cloud tooling (e.g., Cloud DataFlow, BigQuery) Benefits What ...

Expertise in Data Modelling, schema design, and handling both structured and semi-structured data. Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks. Exposure to AWS Lake Formation and automation of ingestion and transformation layers. Background in delivering solutions for highly regulated industries. Passion for mentoring ...

improve productivity while maintaining appropriate human oversight, governance, and solution quality. Bonus Points For Development experience using Scala or Java. Familiarity with Cloudera, Hadoop, Hive, Spark, and related distributed data ecosystems. Experience working with sensitive data and applying data privacy regulations, including GDPR. Curiosity to explore new technologies, including ...

design, development, and optimization of our data infrastructure in a hybrid role based in Hounslow. You will build scalable pipelines with Spark, Hadoop, Hive, and AWS, maintain data warehouses on Oracle/SQL Server, and drive data quality and security. You will leverage Informatica and scripting in Python ...

Practical software development and machine learning experience (e.g. python, tensorflow, pytorch). Familiarity with SQL and large-scale data processing technologies such as Hadoop, Hive, Impala, Scala, Spark etc. Technology leadership experience from defining market driven visions/goals to the implementation of solutions in a production environment ...