in big data technology with experience ranging from platform architecture, data management, data architecture and application architecture High Proficiency working with Hadoop platform including Spark/Scala, Kafka, SparkSQL, HBase, Impala, Hive and HDFS in multi-tenant environments Solid base in data technologies like warehousing, ETL, MDM, DQ, BI and analytical tools extensive experience in metadata management and data More ❯
system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco-system - AWS, Azure or GCP in the data engineering space with at least few complex & high-volume data projects as an More ❯
system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco-system - AWS, Azure or GCP in the data engineering space with at least few complex & high-volume data projects as an More ❯
in Low latency applications Financial background preferable Spark expertise (micro batching, EOD/real time) Python In-memory databases SQL Skills & RDBMS concepts Linux Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) Python , R or equivalent scripting language(s) Excellent Excel Analysis skills Good understanding of Investment Banking data A history of delivering against agreed objectives Ability to multi-task More ❯
benefits (e.g. UK pension schema) What do you offer? Strong hands-on experience working with modern Big Data technologies such as Apache Spark, Trino, Apache Kafka, Apache Hadoop, ApacheHBase, Apache Nifi, Apache Airflow, Opensearch Proficiency in cloud-native technologies such as containerization and Kubernetes Strong knowledge of DevOps tools (Terraform, Ansible, ArgoCD, GitOps, etc.) Proficiency in software development More ❯
Java and/or Python Development. 2+ years of experience working with relational databases such as MySQL, Postgres, etc. 2+ years of experience with NoSQL databases like Bigtable, Cassandra, HBase, etc. Experience with schema design and data modeling. Strong understanding of large-scale distributed data processing. Experience with developing extract-transform-load (ETL). Experience with distributed messaging systems More ❯
or functional programming generally. Exposure with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc. Exposure with DynamoDB or similar NoSQL databases, such as Cassandra, HBase, BigTable, or Cosmos DB. Exposure with Git workflows, and the ability to tailor the workflow to project needs. Exposure with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc. More ❯
