16 of 16 Remote/Hybrid Permanent Apache Hive Jobs

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 ...

software development lifecycleSolid background in Java/Scala and a scripting language like Python.Experience building large scale data pipelinesStrong familiarity with the Apache Hadoop ecosystem including : Spark, Kafka, Flink, Iceberg/Delta Lake/Hive, Apache Presto/Trino, etc.Experience with relational SQL and NoSQL databases, including ...

tools responsibly to improve productivity while maintaining appropriate human oversight, governance, and solution quality.Bonus Points ForDevelopment 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 responsible ...

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 ...

least one scripting language — Python is required.Proficiency in at least one object-oriented language.Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto.Experience with AWS, GCP, or Looker (advantageous but not essential).Solid background in data modelling, including the design, implementation and optimisation ...

least one scripting language — Python is required.Proficiency in at least one object-oriented language.Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto.Experience with AWS, GCP, or Looker (advantageous but not essential).Solid background in data modelling, including the design, implementation and optimisation ...

software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/Linux. Perks & Benefits Long-Term Incentive ...

Python and Java a lot).Ability to work with large-scale computing frameworks, data analysis systems and modelling environments. Examples include technologies like Spark, Hive, NoSQL stores etc.Bachelor’s, Master’s or PhD in Computer Science, Statistics or a related field.Ad-tech/Mar-tech background is a plus.#LI ...

Java a lot). Ability to work with large-scale computing frameworks, data analysis systems and modelling environments. Examples include technologies like Spark, Hive, NoSQL stores etc. Bachelor’s, Master’s or PhD in Computer Science, Statistics or a related field. Ad‐tech/Mar‐tech background ...

expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse … based on business needs, entrepreneurial spiritExcellent verbal and written communication skillsBS or MS degree in Computer Science or equivalentExperience in distributed computing frameworks like - Hive/Hadoop, Apache SparkExperience in developing Finance or HR related applicationsExperience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB ...

expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse … based on business needs, entrepreneurial spiritExcellent verbal and written communication skillsBS or MS degree in Computer Science or equivalentExperience in distributed computing frameworks like - Hive/Hadoop, Apache SparkExperience in developing Finance or HR related applicationsExperience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB ...

tooling used across the engineering teamRequirements:5-7 years of Java experienceCapital markets Front office experienceExperience working with Data lake (Hadoop) consumption, specifically Hive experienceKafka experienceRules engine experience (Ideally open source/vendor products, e.g. Drools or Camunda)Unix scripting knowledgeMarkets Regulatory/Trade control knowledgeAutomation experienceCloud experienceContainerisation experience ...

Java a lot). Ability to work with large‐scale computing frameworks, data analysis systems and modelling environments. Examples include technologies like Spark, Hive, NoSQL stores etc. Qualifications Bachelor’s, Master’s or Ph.D. in Computer Science, Statistics or a related field. Ad‐tech/Mar‐tech background ...

platformsAdvanced Python and SQL skills, with experience in modern engineering practices such as CI/CD and TDDExperience with big data frameworks such as Apache Spark or similar technologiesSolid understanding of data modelling, data warehousing, OLTP and data lake architecturesExperience working with cloud ecosystems such as AWS, Azure … GCPFamiliarity with tools such as Kafka, Airflow, Hive, Delta, or similar technologiesStrong understanding of software engineering principles and production supportExperience with Linux, containerisation and enterprise scheduling toolsKnowledge of data governance, security and data privacy principles including GDPRConfident communicator, able to present complex technical concepts to varied audiencesA proactive, self ...

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