london, south east england, United Kingdom Hybrid / WFH Options
InterEx Group
experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in More ❯
a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Knowledge of AWS Knowledge of Databricks Understanding of Cloudera Hadoop, Spark, HDFS, HBase, Hive. Understanding of Maven or Gradle About the Team J.P. Morgan is a global leader in financial services, providing strategic advice More ❯
coding, data, and documentation standards, in the language required by the business area. Experience of developing in one of the data platforms ONS use; Cloudera or GCP. With experience in Python and knowledge of SQL and/or R would be an advantage. Experience of writing clean, efficient and well More ❯
for open-source contributors to Apache projects, who have an in-depth understanding of the code behind the Apache ecosystem, should have experience in Cloudera or similar distribution and should possess in depth knowledge of bigdata tech stack. Requirement: Experience of platform engineering along with application engineering (hands-on) Experience More ❯
the open-source Apache code and should be an individual contributor to open-source projects. Mandatory Skills: Apache Hadoop Architecture Yarn Architecture Spark Architecture Cloudera distribution Hortonworks More ❯
the open-source Apache code and should be an individual contributor to open-source projects. Required Skills: Apache Hadoop Architecture Yarn Architecture Spark Architecture Cloudera distribution Hortonworks More ❯
best practices to streamline data workflows and reduce manual interventions. Must have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python. Good to have: Cloudera - Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake Erwin. Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or … years of experience in data engineering, including working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data modeling, data warehousing, and data transformation techniques. More ❯
