5 of 5 Contract Apache Hive Jobs

data-based insights, collaborating closely with stakeholders. Passionately discover hidden solutions in large datasets to enhance business outcomes. Design, develop, and maintain data processing pipelines using Cloudera technologies, including Apache Hadoop, Apache Spark, Apache Hive, and Python. Collaborate with data engineers and scientists to translate data requirements into technical specifications. Develop and maintain frameworks for efficient … verbal communication skills for effective team collaboration. Eagerness to learn and master new technologies and techniques. Experience with AutoSys is preferred. Experience with distributed data/computing tools: Hadoop, Hive, MySQL, etc. If you're a passionate Cloudera Developer eager to make a difference in the banking industry, we want to hear from you! Apply now to join our More ❯

Docker for containerization Experience with Microsoft-based infrastructures (not open-source) Desirable Skills: Background in financial services, particularly Market Risk Knowledge of Chef, Ansible, SQL, and Hadoop ecosystems (HDFS, Hive, Impala) Understanding of observability tools (Elasticsearch, Filebeat, Kibana) Familiarity with network protocols and certificate/SSH key management More ❯

timely delivery. Essential Criteria 5+ years of experience in Technical Data Analysis. Proficiency in SQL, Python, and Spark. Experience within an investment banking or financial services environment. Exposure to Hive, Impala, and Spark ecosystem technologies (e.g. HDFS, Apache Spark, Spark-SQL, UDF, Sqoop). Experience building and optimizing Big Data pipelines, architectures, and data sets. Familiarity with Hadoop More ❯

timely delivery. Essential Criteria 5+ years of experience in Technical Data Analysis. Proficiency in SQL, Python, and Spark. Experience within an investment banking or financial services environment. Exposure to Hive, Impala, and Spark ecosystem technologies (e.g. HDFS, Apache Spark, Spark-SQL, UDF, Sqoop). Experience building and optimizing Big Data pipelines, architectures, and data sets. Familiarity with Hadoop More ❯

Modelling : Physical, logical, conceptual models; data flow diagrams; ontologies; UML/Visio/Sparx Data Standards : Technical specs, code assurance, championing interoperability Metadata Management : Data catalogues, repositories; tools like Apache Atlas, Hive Metastore, AWS Glue/Datazone Data Design : Data lakes, warehouses, lakehouses, pipelines, meshes, marketplaces If you're passionate about shaping data strategy and architecture in a More ❯