Team Geek Solutions

[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Full-time | Level: Mid-Senior level] Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Technical leadership experience and a background in software engineering are necessary prerequisites for this role.

Experience 5+ years of hands-on experience in Big Data technologies Key Skills Big Data Technologies: Hadoop ecosystem (HDFS, YARN, MapReduce) Data Processing: Apache Spark (Spark SQL, Spark Core) Querying & Warehousing: Hive ETL & Data Pipelines: Strong experience in ETL design, development, and optimization Databases & Querying: Advanced SQL (complex joins, subqueries, performance tuning) Roles & Responsibilities Design, develop, and maintain scalable Big Data solutions using Hadoop and Spark Build and optimize ETL pipelines to process large volumes of structured and unstructured data Develop and tune Spark jobs for batch and/or near real-time processing Write efficient Hive queries for data analysis and reporting Perform data validation, cleansing, and transformation Optimize query performance and improve data processing efficiency Collaborate with data analysts, data scientists, and business teams to understand data requirements Ensure data quality, reliability, and scalability of data platforms Troubleshoot production issues and provide performance improvements Required Qualifications Strong understanding of Big Data architecture and distributed systems Hands-on experience with Hadoop, Spark, Hive Excellent SQL skills and data modeling knowledge Experience working with large-scale datasets Good understanding of ETL concepts and data warehousing Good to Have (Optional) Experience with Kafka / Flume / Sqoop Exposure to Cloud platforms (AWS, Azure, or GCP) Knowledge of Python or Scala Experience with scheduling tools like Airflow / Oozie Skills: sql,etl,big data,hive,pyspark,spark,hadoop Show less [{"type":"similar_search","href":"https://www..com/jobs/senior-procurement-analyst-jobs","label":"Empleos de Analista Senior de Adquisiciones"},{"type":"similar_search","href":"https://www..com/jobs/clinical-nutritionist-jobs","label":"Empleos de Nutricionista clínico"},{"type":"similar_search","href":"https://www..com/jobs/data-migration-consultant-jobs","label":"Empleos de Consultor de migración de datos"},{"type":"similar_search","href":"https://www..com/jobs/senior-manager-analytics-jobs","label":"Empleos de Gerente Senior de Análisis"},{"type":"similar_search","href":"https://www..com/jobs/master-data-manager-jobs","label":"Empleos de Gestor de Datos Maestros"},{"type":"similar_search","href":"https://www..com/jobs/risk-advisor-jobs","label":"Empleos de Asesor de riesgos"},{"type":"similar_search","href":"...

Experience 5+ years of hands-on experience in Big Data technologies Key Skills Big Data Technologies: Hadoop ecosystem (HDFS, YARN, MapReduce) Data Processing: Apache Spark (Spark SQL, Spark Core) Querying & Warehousing: Hive ETL & Data Pipelines: Strong experience in ETL design, development, and optimization Databases & Querying: Advanced SQL (complex joins, subqueries, performance tuning) Roles & Responsibilities Design, develop, and maintain scalable Big Data solutions using Hadoop and Spark Build and optimize ETL pipelines to process large volumes of structured and unstructured data Develop and tune Spark jobs for batch and/or near real-time processing Write efficient Hive queries for data analysis and reporting Perform data validation, cleansing, and transformation Optimize query performance and improve data processing efficiency Collaborate with data analysts, data scientists, and business teams to understand data requirements Ensure data quality, reliability, and scalability of data platforms Troubleshoot production issues and provide performance improvements Required Qualifications Strong understanding of Big Data architecture and distributed systems Hands-on experience with Hadoop, Spark, Hive Excellent SQL skills and data modeling knowledge Experience working with large-scale datasets Good understanding of ETL concepts and data warehousing Good to Have (Optional) Experience with Kafka / Flume / Sqoop Exposure to Cloud platforms (AWS, Azure, or GCP) Knowledge of Python or Scala Experience with scheduling tools like Airflow / Oozie Skills: sql,etl,big data,hive,pyspark,spark,hadoop Show less [{"type":"similar_search","href":"https://www..com/jobs/senior-procurement-analyst-jobs","label":"Empleos de Analista Senior de Adquisiciones"},{"type":"similar_search","href":"https://www..com/jobs/clinical-nutritionist-jobs","label":"Empleos de Nutricionista clínico"},{"type":"similar_search","href":"https://www..com/jobs/data-migration-consultant-jobs","label":"Empleos de Consultor de migración de datos"},{"type":"similar_search","href":"https://www..com/jobs/senior-manager-analytics-jobs","label":"Empleos de Gerente Senior de Análisis"},{"type":"similar_search","href":"https://www..com/jobs/master-data-manager-jobs","label":"Empleos de Gestor de Datos Maestros"},{"type":"similar_search","href":"https://www..com/jobs/risk-advisor-jobs","label":"Empleos de Asesor de riesgos"},{"type":"similar_search","href":"...