and ETL - informatica - Experience in SQL and database management systems - Knowledge of data modelling , warehousing concepts , and ETL processes - Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or Scala. - Demonstrated analytical and problem-solving skills. - Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services - Proactive and detail oriented More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Experis - ManpowerGroup
data sources. Using machine learning tools to select features, create and optimize classifiers Qualifications: Programming Skills - knowledge of statistical programming languages like python, and database query languages like SQL, Hive/Hadoop, Pig is desirable. Familiarity with Scala and java is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators More ❯
and optimize classifiers Required Skills/Experience The ideal candidate will have the following: Programming Skills - knowledge of statistical programming languages like python, and database query languages like SQL, Hive/Hadoop, Pig is desirable. Familiarity with Scala and java is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators More ❯
within enterprise-grade on-prem systems. Job Responsibilities/Objectives Design, develop, and maintain data pipelines using Hadoop technologies in an on-premises infrastructure. Build and optimize workflows using Apache Airflow and Spark Streaming for real-time data processing. Develop robust data engineering solutions using Python for automation and transformation. Collaborate with infrastructure and analytics teams to support operational … security and data governance standards. Required Skills/Experience The ideal candidate will have the following: Strong experience in Hadoop and data engineering. Strong hands-on experience with Python, Apache Airflow, and Spark Streaming. Deep understanding of Hadoop components (HDFS, Hive, HBase, YARN) in on-prem environments. Exposure to data analytics, preferably involving infrastructure or operational data. Experience More ❯
