14 of 14 Remote Apache Hive Jobs

Our team values continuous learning, knowledge sharing, and creating inclusive solutions that make a difference. Key Responsibilities Support customers with big data services including Apache Spark, Hive, Presto, and other Hadoop ecosystem components Develop and share technical solutions through various communication channels Contribute to improving support processes and … work week schedule, which may include weekends on rotation. BASIC QUALIFICATIONS - Good depth of understanding in Hadoop Administration, support and troubleshooting (Any two applications: Apache Spark, Apache Hive, Presto, Map-Reduce, Zookeeper, HBASE, HDFS and Pig.) - Good understanding of Linux and Networking concepts - Intermediate programming/scripting More ❯

with team members, stakeholders and end users conveying technical concepts in a comprehensible manner Skills across the following data competencies: SQL (AWS Athena/Hive/Snowflake) Hadoop/EMR/Spark/Scala Data structures (tables, views, stored procedures) Data Modelling - star/snowflake Schemas, efficient storage, normalisation More ❯

data structures. Encouraging self-learning among the team. Essential Skills & Qualifications: A confident engineer with an authoritative knowledge of Java and Hadoop including HDFS, Hive, and Spark. Comfortable working with large data volumes and able to demonstrate a firm understanding of logical data structures and analysis techniques. Strong skills More ❯

experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one programming language (e.g. Python, Scala, Java, R). Experience deploying and maintaining cloud More ❯

and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront of More ❯

and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront of 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 ❯

or SaaS products and a good understanding of Digital Marketing and Marketing Technologies. Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc) An understanding of web technologies such as Javascript, node.js and html. Some level of understanding or experience in AI More ❯

services working with open-source resources in a government computing environment Maintaining backend GIS technologies ICD 503 Big data technologies such as Accumulo , Spark, Hive, Hadoop , or ElasticSearch F amiliarity with : hybrid cloud/on-prem architecture, AWS, C2S, and OpenStack . concepts such as Data visualization; Data management More ❯

engineering or in a similar discipline. Analyzing: Ability to make data-driven business suggestions by connecting relevant data points to clear conclusions - familiarity with Hive, Vertica, MySQL, BigQuery, Redshift. Automation: Familiarity with scripting in Python, working with APIs, and testing. Knowledge of working with n8n is a plus. Troubleshooting More ❯

techniques in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development More ❯

techniques in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development More ❯

to the experimentation and development of new ad products at Yelp. Design, build, and maintain efficient data pipelines using large-scale processing tools like Apache Spark to transform ad-related data. Manage high-volume, real-time data streams using Apache Kafka and process them with frameworks like Apache Flink. Estimate timelines for projects, feature enhancements, and bug fixes. Work with large-scale data storage solutions, including Apache Cassandra and various data lake systems. Collaborate with cross-functional teams, including engineers, product managers and data scientists, to understand business requirements and translate them into effective system designs. … a proactive approach to identifying opportunities and recommending scalable, creative solutions. Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena/Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT is nice to have. What you More ❯

be a bonus) SQL PySpark Delta Lake Bash (both CLI usage and scripting) Git Markdown Scala (bonus, not compulsory) Azure SQL Server as a HIVE Metastore (bonus) Technologies: Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Integration/Data Ingestion) JIRA Due to the nature More ❯