21 of 21 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 ...

modeling and developing large data pipelines Hands-on experience with distributed systems such as Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level. Strong Python, Scala/Spark and SQL skills processing big datasets Experience with ...

modeling and developing large data pipelines Hands-on experience with distributed systems such as Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level. Strong Python, Scala/Spark and SQL skills processing big datasets Experience with ...

modeling and developing large data pipelines Hands-on experience with distributed systems such as Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level. Strong Python, Scala/Spark and SQL skills processing big datasets Experience with ...

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 ...

processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering … partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least ...

processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering … partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least ...

processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering … partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least ...

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 ...

/BTEQ, TPT, and SQL performance tuning. ETL development with Informatica 10.x and data migration/conversion experience. Hadoop ecosystem on Cloudera CDP, including Hive, Impala, PySpark, and Scala. UNIX shell scripting and workload automation with Autosys. CI/CD tools and processes: Jira, Bitbucket, Jenkins, Artifactory, and Ansible. ...

Data Engineering with 7+ years of professional experience is preferred. • Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc. • Cloud Development Experience - AWS/ ...

Data Engineering with 7+ years of professional experience is preferred.• Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc.• Cloud Development Experience - AWS/ ...

generation of Big Data Analytics solutions tailored to our client needs. Development: Create MR1/YARN applications using Java, Scala, or Python. Additionally, develop Hive and Impala scripts. Project Leadership: Take charge of the end‐to‐end successful delivery of Information Management and analytics, specifically focusing on Big Data ...

data analytical solutions in a large-scale business environment Experience in deep analytic focused work leveraging Distributed File System ecosystem tools: Linux, Python, Spark, Hive; and modern data platforms and tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines ...

Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP). Solid academic record. Strong computer skills. Postgraduate studies and/or specialized courses are an asset ...

Nice to have: Replenishment Planning Functional Knowledge Nice to have Database: SQL, NoSQL, Indexing, CRUD operations, Python on HADOOP Nice to have Python HADOOP HIVE integration skills Requirement management and Business Analysis skills are required Understanding of customer's requirements by participating in workshops with functional and business owners ...

Cloudera Hadoop and related data platforms across environments, including upgrades, patches, and deployments. Manage and administer clusters and services for Hadoop, Spark, Kafka, Hive, Impala, HBase, YARN, Zookeeper, SOLR, Hue, and Postgres. Implement authentication, security, and governance including AD/Kerberos, Sentry/Ranger, and auditing. … clients, developers, vendors, and project managers to deliver solutions that meet business needs. Required Skills & Qualifications: Expert-level Cloudera Hadoop administration including HDFS, YARN, Hive, Impala, HBase, Kafka, Zookeeper, SOLR, Hue, and Postgres. Deep knowledge of Hadoop architecture, HDFS internals, and cluster sizing and configuration. Strong security background with ...

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a ...

vision into scalable, reliable systems.We love contributing our work to open-source communities and have successfully done so with tools like Circus Train , a Hive dataset replication tool, and Waggle Dance , a federation service that allows access to data lake tables across multiple catalogs. Recently, we added Hive support to Apache Iceberg , a high-performance open table format for large analytic datasets that underpins many modern Lakehouse architectures.We guarantee you’ll learn a lot and won’t be bored!What you'll doDesign, build, and evolve maintainable, scalable, testable, and observable software for our data lake ...

enterprise-scale data processing platform responsible for large-scale healthcare data ingestion and encounter processing. This role requires hands-on expertise in Scala, Apache Spark, Hive, Drools, and Cloudera Data Platform (CDP) to maintain, enhance, troubleshoot, and optimize production data pipelines. ...