76 to 100 of 182 Apache Hive Jobs

C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or a strong willingness to learn the More ❯

C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or a strong willingness to learn the More ❯

C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or a strong willingness to learn the More ❯

C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or a strong willingness to learn the More ❯

C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or a strong willingness to learn the More ❯

C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or a strong willingness to learn the More ❯

Disaster recovery process/tools Experience in troubleshooting and problem resolution Experience in System Integration Knowledge of the following: Hadoop, Flume, Sqoop, Map Reduce, Hive/Impala, Hbase, Kafka, Spark Streaming Experience of ETL tools incorporating Big Data Shell Scripting, Python Beneficial Skills: Understanding of: LAN, WAN, VPN and More ❯

and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13 billion. Job Description: Required Skills: Spark - Must have Scala - Must have Hive & SQL - Must have Hadoop - Must have Communication - Must have Banking/Capital Markets Domain - Good to have Note: Candidate should know Scala/Python More ❯

software engineering, computer science or a similar field. Comfortable programming in Python and Scala (or Java) Knowledgeable in Big Data technologies, in particular Hadoop, Hive, and Spark. Experience in building real-time applications, preferably in Spark Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow More ❯

Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working with data engineers and business intelligence engineers collaboratively - Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS - Experience as a More ❯

languages (Java, Python, R) with extensive ETL and data management experience - Deep understanding of Hadoop ecosystem (Sqoop, Kafka, etc.) and SQL-on-Hadoop technologies (Hive, Spark SQL) with proven experience in MPP models - Demonstrated expertise in GenAI, including LLMs, RAG architectures, vector databases, and production deployment experience - Strong track More ❯

About our team It is our mission to transform the working lives of finance and tax professionals. We are responsible for the innovation and development of human-centric products within EY. Our approach is to prototypes ideas, get feedback from More ❯

Go Must have a DoD 8140/8570 compliance certification (i.e. Security+ certification) Preferred Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers and Kubernetes More ❯

Experience in containerization technologies and container orchestration ( Kubernetes , OpenShift, Docker, Mesos, etc.) Experience with different distributed technologies (e.g. Spark, S3, Snowflake, DynamoDB, CockroachDB, HDFS, Hive, etc.) Experienced with Java/Go/Python/Scala/other languages Proficiency in English Team Data Reply, as part of the Reply More ❯

Experience in containerization technologies and container orchestration ( Kubernetes , OpenShift, Docker, Mesos, etc.) Experience with different distributed technologies (e.g. Spark, S3, Snowflake, DynamoDB, CockroachDB, HDFS, Hive, etc.) Experienced with Java/Go/Python/Scala/other languages Proficiency in English Team Data Reply, as part of the Reply More ❯

/Spring web application development. Experience with Test Driven Development and Agile methodologies; Behavior Driven Development is a plus. Knowledge of Hadoop, Big Data, Hive, Pig, NoSQL is a plus, though most engineers with this background may have limited REST experience. Additional Information All your information will be kept More ❯

numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. You have excellent communication More ❯

matplotlib, seaborn) for exploratory data analysis and data visualization. A big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. You have excellent communication More ❯

quickly Ability to work independently and be self-directed Bachelor's degree in Computer Science or related Experience with big data analytics: Splunk, ELK, Hive, Redshift, etc. (nice to have) In-depth knowledge of streaming back-ends and formats (nice to have) Experience working with Smart/Digital TV More ❯

Flask, Django, or FastAPI. Proficiency in Python 3.x and libraries like Pandas, NumPy, and Dask. Experience with data manipulation and processing frameworks (e.g., PySpark, Apache Beam). Strong knowledge of databases, including SQL and NoSQL (e.g., PostgreSQL, MongoDB). Familiarity with ETL processes and tools such as Airflow or … or GCP. Hands-on experience with AI/ML workflows or deploying machine learning models in production. Knowledge of big data technologies like Hadoop, Hive, or Spark. Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or DataRobot. Education: Bachelor’s degree in Computer Science, Software Engineering, or More ❯

Flask, Django, or FastAPI. Proficiency in Python 3.x and libraries like Pandas, NumPy, and Dask. Experience with data manipulation and processing frameworks (e.g., PySpark, Apache Beam). Strong knowledge of databases, including SQL and NoSQL (e.g., PostgreSQL, MongoDB). Familiarity with ETL processes and tools such as Airflow or … or GCP. Hands-on experience with AI/ML workflows or deploying machine learning models in production. Knowledge of big data technologies like Hadoop, Hive, or Spark. Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or DataRobot. Education: Bachelor’s degree in Computer Science, Software Engineering, or More ❯

Flask, Django, or FastAPI. Proficiency in Python 3.x and libraries like Pandas, NumPy, and Dask. Experience with data manipulation and processing frameworks (e.g., PySpark, Apache Beam). Strong knowledge of databases, including SQL and NoSQL (e.g., PostgreSQL, MongoDB). Familiarity with ETL processes and tools such as Airflow or … or GCP. Hands-on experience with AI/ML workflows or deploying machine learning models in production. Knowledge of big data technologies like Hadoop, Hive, or Spark. Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or DataRobot. Education Bachelor’s degree in Computer Science, Software Engineering, or More ❯

as Hbase, CloudBase/Acumulo, Big Table, etc.; Shall have demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.; Shall have demonstrated work experience with the Hadoop Distributed File System (HDFS); Shall have demonstrated work experience with Serialization such as JSON More ❯

required Preferred Qualifications • Familiarity with AWS CDK • Terraform, Packer • Design Concepts: REST APIs • Programming Languages: Javascript/NodeJS • Processing Tools: Presto/Trino, MapReduce, Hive More ❯

Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics More ❯