12 of 12 HDFS Jobs

Points For Expertise in Data Modelling, schema design, and handling both structured and semi-structured data. Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks. Exposure to AWS Lake Formation and automation of ingestion and transformation layers. Background in delivering solutions for highly regulated industries. Passion for mentoring ...

deliver initiatives on schedule. Required Skills & Qualifications: 3-5 years of experience designing, implementing, and maintaining distributed systems. Deep expertise with Cloudera Hadoop ecosystem: HDFS, YARN, Spark, Impala, Ranger. Knowledge of Apache Iceberg and object storage such as S3 or Ozone. Strong Python development for automation and services using FastAPI ...

including mappings, workflows, applications, transformations, and reusable components. Support the migration of data assets, ETL pipelines, and workloads from the Cloudera Hadoop platform (HDFS, Hive, Impala, Spark) to AWS Cloud. Design, develop, and optimise data ingestion, transformation, and loading processes into Amazon S3 Data Lake and Amazon Redshift. Develop ...

Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker/Kubernetes/Openshift) Testing frameworks and best practices Use of Code repositories, familiarity with branching ...

Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker/Kubernetes/Openshift) Testing frameworks and best practices Use of Code repositories, familiarity with branching ...

Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker/Kubernetes/Openshift) Testing frameworks and best practices Use of Code repositories, familiarity with branching ...

Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker/Kubernetes/Openshift) Testing frameworks and best practices Use of Code repositories, familiarity with branching ...

least one scripting language — Python is required . Proficiency in at least one object-oriented language. Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto. Experience with AWS, GCP, or Looker (advantageous but not essential). Solid background in data modelling, including ...

least one scripting language — Python is required . Proficiency in at least one object-oriented language. Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto. Experience with AWS, GCP, or Looker (advantageous but not essential). Solid background in data modelling, including ...

cloud-based risk platforms and pricing engines Azure Kubernetes Service (AKS) Azure Data Lake Microservices and event-driven architectures Kafka, Redis, Spark, HBase, and HDFS Market Risk platforms covering VaR, Stress Testing, and FRTB Risk exposure reconciliation and reporting platforms Enterprise scheduling tools such as Control-M What ...

incident retrospectives, and iterative delivery—making pragmatic trade‐offs and documenting them clearly. Technology Stack Languages: Predominantly Python and Node.js Distributed/data platforms: HDFS, HBase, Spark, plus increasing use of Kubernetes and cloud services Storage/search: MongoDB, OpenSearch Orchestration: Airflow, Dagster, NiFi Tooling: GitHub, GitHub Actions, Rundeck, Jira … improving reliability/performance Strong fundamentals: data structures, testing, version control, Linux basics Nice to have: Spark/PySpark experience Hadoop ecosystem exposure (HDFS/HBase) Workflow orchestration (Airflow/Dagster/NiFi) Search/indexing (OpenSearch, MongoDB) Kubernetes and infrastructure‐as‐code Degree in Computer Science or numerical degree ...

support capacity planning and financial governance. Responsibilities: Provide analytics, executive reporting, and operational insights to drive capacity planning and financial governance. Monitor and resolve HDFS and Ozone related issues across clusters. Investigate cluster performance, storage utilization, and capacity concerns. Manage quota requests, storage allocation, and capacity planning activities. Support application … during incident resolution and problem management. Create and maintain operational documentation, runbooks, and knowledge articles. Required Skills & Qualifications: Strong proficiency with Hadoop ecosystem technologies: HDFS, Hive, Spark, Ozone. Experience with Hive Metastore management and table or partition maintenance. Background supporting large-scale data warehouse environments on Hadoop. Hands-on data ...