13 of 13 Permanent Apache Hive Jobs in the UK

governance including GDPR. Bonus Points For 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 and enabling data engineering best More ❯

Trino/Starburst Enterprise/Galaxy administration and CLI operations Container Orchestration : Proven track record with Kubernetes/OpenShift in production environments Big Data Ecosystem : Strong background in Hadoop, Hive, Spark, and cloud platforms (AWS/Azure/GCP) Systems Architecture : Understanding of distributed systems, high availability, and fault-tolerant design Security Protocols : Experience with LDAP, Active Directory, OAuth2 More ❯

Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ODBC), authentication systems (LDAP, Active Directory, OAuth2), and More ❯

. Proven experience with Trino/Starburst Enterprise/Galaxy administration/CLI. Implementation experience with container orchestration solutions (Kubernetes/OpenShift). Knowledge of Big Data (Hadoop/Hive/Spark) and Cloud technologies (AWS, Azure, GCP). Understanding of distributed system architecture, high availability, scalability, and fault tolerance. Familiarity with security authentication systems such as LDAP, Active More ❯

. Proven experience with Trino/Starburst Enterprise/Galaxy administration/CLI. Implementation experience with container orchestration solutions (Kubernetes/OpenShift). Knowledge of Big Data (Hadoop/Hive/Spark) and Cloud technologies (AWS, Azure, GCP). Understanding of distributed system architecture, high availability, scalability, and fault tolerance. Familiarity with security authentication systems such as LDAP, Active More ❯

modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming More ❯

modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming More ❯

Podman or Docker Comfortable using Git; an awareness of CI/CD practices and tools such as GitHub Actions or Azure DevOps Nice to have: Experience of working with Apache Spark/Flink/Kafka Familiarity with object storage e.g. AWS S3 Knowledge of containerised development workflows using e.g., VSCode Basic understanding of cloud platforms like AWS or GCP … Experience contributing to open-source or internal code templates, demos, or accelerators Familiarity with data catalog services (e.g. Hive, Polaris, Glue) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi London, you will not only be part More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: At least Candidate should know Scala coding language. Pyspark profile will not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala … Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability to multi-task and work under pressure • Demonstrated problem solving and decision-making skills • Excellent analytical and process-based skills, i.e. process More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: At least Candidate should know Scala coding language. Pyspark profile will not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala … Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability to multi-task and work under pressure • Demonstrated problem solving and decision-making skills • Excellent analytical and process-based skills, i.e. process More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: At least Candidate should know Scala coding language. Pyspark profile will not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala … Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability to multi-task and work under pressure • Demonstrated problem solving and decision-making skills • Excellent analytical and process-based skills, i.e. process More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: At least Candidate should know Scala coding language. Pyspark profile will not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala … Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability to multi-task and work under pressure • Demonstrated problem solving and decision-making skills • Excellent analytical and process-based skills, i.e. process More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: At least Candidate should know Scala coding language. Pyspark profile will not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala … Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability to multi-task and work under pressure • Demonstrated problem solving and decision-making skills • Excellent analytical and process-based skills, i.e. process More ❯