in building DW/BI systems · Demonstrated ability in data modeling, ETL development, and Data warehousing. · Strong experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) · Expertise in a BI solution like Power BI · Hands on experience in modelling databases (particularly nosql), working on indexes, materialized views more »
but PostgreSQL is a plus). Experience with some sort of API framework (ex. Spring Boot). Experience with big data infrastructures such as Hbase, RDBMS, Redshift. Experience with optimizing database performance by using various techniques such as indexing, caching. Experience with public cloud hosting provider (AWS (preferred), Google more »
Platform. Experience in large-scale data platform builds and application migrations. Expert knowledge of Apache Hadoop ecosystem and associated Apache projects (eg, HDFS, Hive, HBase,... more »
Platform. Experience in large-scale data platform builds and application migrations. Expert knowledge of Apache Hadoop ecosystem and associated Apache projects (eg, HDFS, Hive, HBase, Spark, Ranger, Kafka, Yarn etc.). Proficiency in Kubernetes for container orchestration. Strong understanding of security practices within big data environments. Ability to read more »
but PostgreSQL is a plus). Experience with some sort of API framework (ex. Spring Boot). Experience with big data infrastructures such as Hbase, RDBMS, Redshift. Experience with optimizing database performance by using various techniques such as indexing, caching. Experience with public cloud hosting provider (AWS (preferred), Google more »
Python, Scala, JavaScript). Experience with Microsoft or AWS data stack e.g. Microsoft Azure Data Lake, Hadoop (preferably with Spark), Cosmos DB, HDInsight/HBase, MongoDB, Redis, Azure Table/Blob stores etc. Exposure to tools like SAP technologies and Alteryx always useful. Experience of working in a global more »
