Performed Red Hat Package Manager (RPM) and YUM package installations, patch and other server management. Extensively worked in data Extraction, Transformation and Loading data using BTEQ, Fast load, Multiload from Oracle to Teradata, Extensively used the Teradata fast load/Multiload utilities to load data into tables, Used Teradata SQL Assistant to build the SQL queries. Strong experience in Data Warehousing and ETL using Datastage. This will increase disk writing throughput and enable Elastic search to write to multiple disk in same time and a segment of given Shard is written to the same disk. Although sysadmins have a seemingly endless list of responsibilities, some are more critical than others. Configuring Name Node, Data Nodes to … Use of Sqoop to Import and export data from HDFS to RDMS vice-versa. Developed data pipeline using Flume, Sqoop, Pig and Java Map Reduce to ingest customer behavioral data into HDFS for analysis. Team Player and self-starter possessing effective communication, motivation and organizational skills combined with attention to detail and business process improvements, hard worker with ability to meet deadlines on or ahead of schedules. Experience in leading MS BI Centre of Excellence (COE)& Competency which includes taking trainings on MS BI tools (DW, SSIS,SSAS,SSRS), providing architect solutions and supporting MS BI practice. Experienced in Installation and configuration Cloudera CDH4 in testing environment. Big Data Architects who would like to include Kafka in their ecosystem. Involved in estimation and setting-up Hadoop Cluster in Linux. Use of cutting edge data mining, machine learning techniques for building advanced customer solutions. Worked on Disk space issues in Production Environment by monitoring how fast that space is filled, review what is being logged created a long-term fix for this issue (Minimize Info, Debug, Fatal Logs, and Audit Logs). Confidential, San Francisco, CA. Also, while the Broker is the constraint to handle … What is Apache Kafka? That means, it notices, if the Kafka Broker is alive, always when it regularly sends heartbeats requests. Closely worked with Kafka Admin team to set up Kafka cluster setup on the QA and Production environments. Helping business to make them understand reporting tools better by doing POC's on MicroStrategy and Tableau and JasperSoft. Assign access to users by multiple users login. Implemented Fair scheduler on the job tracker to allocate the fair amount of resources to small jobs. Installation and configuration of Linux for new build environment. Sample Project Administrator Job Description Operating Systems: UNIX, Linux, Windows XP, Windows Vista, Windows 2003 Server. Also I tested non authenticated user (Anonymous user) in parallel with Kerberos user. Performed data requirements analysis, data modeling (using Erwin) and established data architecture standards. Processing the schema oriented and non-schema oriented data using Scala and Spark. Tested and Performed enterprise wide installation, configuration and support for hadoop using MapR Distribution. Accurate and timely bookkeeping 2. Implemented test scripts to support test driven development and continuous integration. This book is a complete, A-Z guide to Kafka. Further with more grain-fines Security I set up Kerberos to have users and groups this will enable more advanced security features. Kafka Developer . From the above image, it is evident that Kafka has been doing pretty good. Worked on analyzing Hadoop cluster and different big data analytic tools including Pig, Hive and Sqoop. Created HBase tables to store variable data formats of data coming from different applications. Get Started With Real-Time Analytics With Apache Kafka, Join Edureka Meetup community for 100+ Free Webinars each month. Developed and designed system to collect data from multiple portal using Kafka and then process it using spark. Worked on Spark Transformation Process, RDD Operations, Data Frames, Validate Spark Plug-in for Avro Data format (Receiving gzip data compression Data and produce Avro Data into HDFS files). Office Administrator Responsibilities: Welcoming visitors and directing them to the relevant office/personnel. Migrated the existing data to Hadoop from RDBMS (SQL Server and Oracle) using Sqoop for processing the data. Apache projects like Kafka, Storm and Spark continue to be popular when it comes to stream processing. Managed critical bundles and patches on the production servers after successfully navigating through the testing phase in the test environments. Successfully secured the Kafka cluster with Kerberos. Using Hadoop cluster as a staging environment for the data from heterogeneous sources in data import process. Let’s look at the job trend for Kafka from a global or sort-of global standpoint. Experience in Implementing Hadoop Cluster Capacity Planning, Involved in the installation of CDH5 and up-gradation from CDH4 to CDH5, Cloudera Manager Up gradation from 5.3. to 5.5 version. Deployed Data lake cluster with Hortonworks Ambari on AWS using EC2 and S3. Performed dimensional data modeling using Erwin to support data warehouse design and ETL development. Responsible for maintenance Raid-Groups, LUN Assignments as per agreed design documents. Resolved tickets submitted by users, P1 issues, troubleshoot the errors, resolving the errors. Programming Languages: Java, Pl SQL, Shell Script, Perl, Python. It is a preferred choice by the users for its ease of use and simplicity. Installation, Configuration, and OS upgrades on RHEL 5.X/6.X/7.X, SUSE 11.X, 12.X. 18th July 2007 From Nigeria, Lagos. UWM is a rapidly growing, family-owned company that feels very much like family. To design. Successfully upgraded Cloudera hadoop cluster from CDH 5.4 to CDH 5.6. Due to these reasons, real-time analytics has been gaining popularity and in the months to come, we can expect to witness a huge shift in Big Data and Analytics, from batch to near real-time processing. Kafka is so popular that it had recently joined the four comma club after hitting 1.1 Trillion messages per day (1,100,000,000,000 – four commas…get it?). The Administrator’s main tasks include managing office equipment, booking meetings and events, arranging travel and distributing mail. The job of a human resources administrator is one that merges both the roles and functions of admin with that of human resource and personnel. Inputs to development regarding the efficient utilization of resources like memory and CPU utilization. Implemented Kafka Security Features using SSL and without Kerberos. Configured High Availability on the name node for the Hadoop cluster - part of the disaster recovery roadmap. Apply to Engineer, Software Engineer, Senior .NET Developer and more! Actively involved in SQL and Azure SQL DW code development using T-SQL. Extracted data from SQL Server 2008 into data marts, views, and/or flat files for Tableau workbook consumption using T-SQL. Experienced in authoring POM.xml files, performing releases with Maven release plugin, modernization of Java projects, and managing Maven repositories. Kafka- Used for building real-time data pipelines between clusters. Involved in Installing, Configuring and Administration of Tableau Server. Designed and developed automation test scripts using Python. Extensively used filters, facts, Consolidations, Transformations and Custom Groups to generate reports for Business analysis. What Are an Administrative Assistant’s Duties and Responsibilities? Day-to- day - user access, permissions, Installing and Maintaining Linux Servers. Responsible for ingesting data from various source systems (RDBMS, Flat files, BigData) into Azure (Blob Storage) using framework model. Worked on heap optimization and changed some of the configurations for hardware optimization. Performed scheduled backup and necessary restoration. Expertise in designing Python scripts to interact with middleware/back end services. Responsible for writing Pig scripts to process the data in the integration environment, Responsible for setting up HBASE and storing data into HBASE, Responsible for managing and reviewing Hadoop log files. Similar trend has been observed on Indeed, a popular US-based job portal as well. Extensive experience in building Data Warehouses/Data Marts using ETL tools Informatica Power Center (9.0/8.x/7.x). Below given are the roles of ZooKeeper in Kafka Broker: i. Experience with ETL working with Hive and Map-Reduce. Experience installing, upgrading and configuring RedHat Linux 4.x, 5.x, 6.x using Kickstart Servers and Interactive Installation, Responsible for creating and managing user accounts, security, rights, disk space and process monitoring in Solaris, CentOS and Redhat Linux, Performed administration and monitored job processes using associated commands, Manages systems routine backup, scheduling jobs and enabling cron jobs, Maintaining and troubleshooting network connectivity, Manages Patches configuration, version control, service pack and reviews connectivity issues regarding security problem, Configures DNS, NFS, FTP, remote access, and security management, Server hardening, Installs, upgrades and manages packages via RPM and YUM package management, Experience administering, installing, configuring and maintaining Linux, Creates Linux Virtual Machines using VMware Virtual Center dministers VMware Infrastructure Client 3.5 and Vsphere 4.1, Installs Firmware Upgrades, kernel patches, systems configuration, performance tuning on Unix/Linux systems. Troubleshooting and fixing the issues at User level, System level and Network level by using various tools and utilities. Partitioned and queried the data in Hive for further analysis by the BI team. Kafka plays a critical role in shaping LinkedIn’s infrastructure as well as that for the hundreds of other organizations that have adopted Kafka. Created 25+ Linux Bash scripts for users, groups, data distribution, capacity planning, and system monitoring. use the fork data either directly using S nap or by embedding a pipeline. Integrated Apache Kafka for data ingestion. Developers who want to accelerate their career as a ‘Kafka Big Data Developer’. Implemented AWS and Azure-Omni for the couch base Load. Involved in defining test automation strategy and test scenarios, created automated test cases, test plans and executed tests using Selenium WebDriver and JAVA. Provided technical solutions on MS Azure HDInsight, Hive, HBase, Mongo DB, Telerik, Power BI, Spot Fire, Tableau, Azure SQL Data Warehouse Data Migration Techniques using BCP, Azure Data Factory, and Fraud prediction using Azure Machine Learning. As an ETL Tester responsible for the understanding the business requirements, creating test data and test case design. Responsible for support, troubleshooting of Map Reduce Jobs, Pig Jobs and maintaining Incremental Loads at daily, weekly and monthly basis. State Zookeeper determines the state. Apache Kafka has become the de-facto standard for real-time data analytics and LinkedIn isn’t the only company that is harnessing vast streams of data. Apply To 20008 Kafka Jobs On Naukri.com, India's No.1 Job Portal. Set up automated processes to archive/clean the unwanted data on the cluster, in particular on Name node and Secondary name node. Involved with Hortonworks Support team on Grafana consumer Lags Issues. Tested all services like Hadoop, ZK, Spark, Hive SERVER & Hive MetaStore. Worked on integration of Hiveserver2 with Tableau. Monitor the data streaming between web sources and HDFS. | Cookie policy. Installed Cent OS using Pre-Execution environment boot and Kick start method on multiple servers, remote installation of Linux using PXE boot. Debug and solve the major issues with Cloudera manager by interacting with the Cloudera team. Kafka’s design is predominantly based on transaction logs. 1. Performed data requirements analysis, data modeling and established data architecture standards. Performed dimensional data modeling to support data warehouse design and ETL development activities. Upgraded the Cloudera Hadoop ecosystems in the cluster using Cloudera distribution packages. Kafka is an open-source message broker project developed by the Apache Software Foundation and is written in  the Scala language. In honor of Administrative Professionals Week, we're highlighting five admin roles that are in high-demand on Monster. To code. "PMP®","PMI®", "PMI-ACP®" and "PMBOK®" are registered marks of the Project Management Institute, Inc. MongoDB®, Mongo and the leaf logo are the registered trademarks of MongoDB, Inc. Python Certification Training for Data Science, Robotic Process Automation Training using UiPath, Apache Spark and Scala Certification Training, Machine Learning Engineer Masters Program, Data Science vs Big Data vs Data Analytics, What is JavaScript – All You Need To Know About JavaScript, Top Java Projects you need to know in 2021, All you Need to Know About Implements In Java, Earned Value Analysis in Project Management, Post-Graduate Program in Artificial Intelligence & Machine Learning, Post-Graduate Program in Big Data Engineering, Implement thread.yield() in Java: Examples, Implement Optical Character Recognition in Python. Enabled influxDB and Configured Influx database source into Grafana interface. This has given rise to a multitude of career opportunities in Apache Kafka across the globe. Adding new Data Nodes when needed and re-balancing the cluster. Executed and maintained Selenium test automation scriptb, Created Database on InfluxDB also worked on Interface, created for Kafka also checked the measurements on Databases. Did data reconciliation in various source systems and in Teradata. Worked on YUM configuration and package installation through YUM. Preparation of operational testing scripts for Log check, Backup and recovery and Failover. a. Kafka Brokers. Organize travel arrangements for senior managers. Configured Elastic Search for log collections and Prometheus & Cloudwatch for metric collections. Continuous monitoring and managing the Hadoop cluster through Ganglia and Nagios. Not interested. Proficient with Shell, Python, Ruby, YAML, Groovy scripting languages & Terraform. Extensive experience with Informatica (ETL Tool) for Data Extraction, Transformation and Loading. Exported data to Teradata using sqoop data is stored in Vertica database table and Spark was used to load the data from Vertica table in to Data. Further, Confluent, a new startup founded by the founders of Kafka, is stepping up the Kafka game. Involved in writing complex SQL queries using correlated sub queries, joins, and recursive queries. And our award-winning workplace just happens to be home to the #1 wholesale mortgage lender in the nation, United Wholesale Mortgage. Primarily responsible for creating new Azure Subscriptions, data factories, Virtual Machines, Sql Azure Instances, SQL Azure DW instances, HD Insight clusters and installing DMGs on VMs to connect to on premise servers. Accurate and timely operation of payroll 4. Experience on Microsoft Azure Big Data - HDInsight, Hadoop, Hive, PowerBI, AzureSQLData Warehouse.Knowledge on Azure Machine Learning(RL language) & Predictive Analysis, Pig, HBase, MapReduce, MongoDB, SpotFire, Tableu. With Kafka, one can be assured to excel in their Big Data Analytics career. Good understanding and extensive work experience on SQL and PL/SQL. The Splunk platform authorization allows you to add users, assign users to roles, and assign those roles custom capabilities to provide granular, role-based access control for your organization.. Splunk Enterprise Security relies on the admin user to run saved searches. Worked extensively on date manipulations in Teradata. Coordinate office activities and operations to secure efficiency and compliance to company policies; Supervise administrative staff and divide responsibilities to ensure performance; Manage agendas/travel arrangements/appointments etc. Smooth functioning membership administration . Installed Docker for utilizing ELK, Influxdb, and Kerberos. Implemented KNOX, RANGER, Spark and Smart Sence in Hadoop cluster. Worked on analyzing Data with HIVE and PIG. Upgraded Elastic search from 5.3.0 to 5.3.2 following the rolling upgrade process and using ansible to deploy new packages in Prod Cluster. Complete end to end design and development of Apache Nifi flow which acts as the agent between middleware team and EBI team and executes all the actions mentioned above. Role Overview . Designing and working with Cassandra Query Language knowledge in Cassandra read and write paths and internal architecture, Implemented multi-data center and multi-rack Cassandra cluster, Experience using DSE Sqoop for importing data from RDBMS to Cassandra. Involved in data migration from Oracle database to MongoDB. Done major and minor upgrades to the Hadoop cluster. Save job. Installed Ansible 2.3.0 in Production Environment, Worked on maintenance of Elastic search cluster by adding more partitioned disks. In this session, allow us to throw some light on the roles and responsibilities of a Qlik Sense Developer and the average salaries offered to them in … Accurate and timely bookkeeping Implemented Oozie workflows for Map Reduce, Hive and Sqoop actions. Designed and allocated HDFS quotas for multiple groups. Changes to the configuration properties of the cluster based on volume of the data being processed and performance of the cluster. Consulted with the operations team on deploying, migrating data, monitoring, analyzing, and tuning MongoDB applications. Big Data Tools: HDFS, MapReduce, YARN, Hive, Pig, Sqoop, Flume, Oozie, Kafka, hortonwork, Ambari, Knox, Phoniex, Impala, Storm. © 2021 Hire IT People, Inc. Involved in enabling ssl for hue on prem CDH cluster. Dice recently analyzed its online job postings and identified tech skills that have skyrocketed in terms of demand. © 2021 Brain4ce Education Solutions Pvt. Kafka’s objective is to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Even though the census only belongs to U.K and U.S, it does give us a very good idea about how Kafka is doing (Source: Indeed Job Trends). Expertise in Commissioned Data Nodes when data grew and Decommissioned when the hardware degraded. Responsible for implementation and ongoing administration of Hadoop infrastructure. Tools: Interwoven Teamsite, GMS, BMC Remedy, Eclipse, Toad, SQL Server Management Studio, Jenkins, GitHub,Ranger Test NG, Junit. Your Role and Responsibilities The IBM Global Chief Data Office is looking for a Kubernetes Infrastructure Administrator having K8s and Kafka skills. Got a question for us? Additionally, administrators are often responsible for office projects and tasks, as well as overseeing the work of junior admin staff. Desired Candidate Profile. Involved in migrating the MySQL database to Oracle database and PSQL database to Oracle database. LinkedIn’s deployment of Apache Kafka has surpassed 1.1 Trillion and is by far the largest deployment of Kafka in production at any organization. Used Teradata Viewpoint for Query Performance monitoring. 10,142 Kafka jobs available on Indeed.com. Involved in converting Hive/SQL queries into Spark transformations using Spark RDDs, Python and Scala.Spark scripts by using Scala shell commands as per the requirement. Utilization based on the running statistics of Map and Reduce tasks. Installing, Upgrading and Managing Hadoop Cluster on Hortonworks. Developed simple and complex MapReduce programs in Java for Data Analysis. Created POC on Hortonworks and suggested the best practice in terms HDP, HDF platform, NIFI. Combined views and reports into interactive dashboards in Tableau Desktop that were presented to Business Users, Program Managers, and End Users. Spilit work into child and parent pipelines distributed exeution across mutiple nodes. Determine and execute improved technologies used by suppliers, competitors, and customers. Installed Ranger in all environments for Second Level of security in Kafka Broker. Database: MySQL, NoSQL, Couchbase, InfluxDB, Teradata, HBase, MongoDB, Cassandra, Oracle. Created a Bash Scripting with Awk formatted text to send metrics to InfluxDB. Designed and architected in building New Hadoop Cluster. Created Hive tables to store the processed results in a tabular format. Worked with 50+ source systems and got batch files from heterogeneous systems like Unix/windows/oracle/Teradata/mainframe/db2.Migrated 1000+ tables from Teradata to HP vertica. Focused on high-availability, fault tolerance, and auto-scaling. Used Scala functional programming concepts to develop business logic. From introductory to advanced concepts, it equips you with the necessary tools and insights, complete with code and worked examples, to navigate its complex ecosystem and exploit Kafka to its full potential. Managed and reviewed Hadoop Log files as a part of administration for troubleshooting purposes. Develop and optimize physical design of MySQL database systems. Implemented and managed for Devops infrastructure architecture, Terraform, Jenkins, Puppet and Ansible implementation, Responsible for CI infrastructure and CD infrastructure and process and deployment strategy. It is evident that Kafka skill is becoming vital. Balancing HDFS manually to decrease network utilization and increase job performance. Worked as Onshore lead to gather business requirements and guided the offshore team on timely fashion. Responsible for importing and exporting data into HDFS and Hive. Configured Domain Name System (DNS) for hostname to IP resolution. Kafka is an open-source message broker project developed by the Apache Software Foundation and is written in the Scala language. Cover the reception desk when required. At CDO, work is more than a job - it's a calling: To build. Installed Kerberos secured kafka cluster with no encryption on Dev and Prod. Working extensively on dashboards/scorecards and grid report using MicroStrategy and Tableau. Extracted the data from oracle using sql scripts and loaded into teradata using fast/multi load and transformed according to business transformation rules to insert/update the data in data marts. When used for the right use case, Kafka has unique attributes that make it a highly attractive option for data integration. Write letters and emails on behalf of other office staff. Experience in writing SQL queries to process some joins on Hive table and No SQL Database. Setting up cluster and installing all the ecosystem components through MapR and manually through command line in Lab Cluster. Key Responsibilities and Dimensions of Role . The Confluent Kafka Administrator will be responsible for assisting with the design, architecture, implementation, and on-going support of Kafka clusters on an…. This role is key in the human resources unit as a whole. Created volume groups logical volumes and partitions on the Linux servers and mounted file systems and created partitions. The Data is read in, converted to Avro, and written to the HDFS files. Installed and configured Ambari Log Search under the hood it will required a SolR Instance, that can collect and index all cluster generated logs in real time and display them in one interface. Responsibilities: Implemented Spring boot microservices to process the messages into the Kafka cluster setup. Exported the analyzed data to the relational databases using Sqoop for visualization and to generate reports for the BI team. Big Data Engineer/ Kafka Admin. Documentation is how sysadmins keep records of assets, including hardware and software types, counts, and licenses. Implemented Custom Azure Data Factory pipeline Activities and SCOPE scripts. Managing Disk File Systems, Server Performance, Users Creation and Granting file access Permissions and RAID configurations. Implemented Commissioning and Decommissioning of data nodes, killing the unresponsive task tracker and dealing with blacklisted task trackers. Adding new Nodes to an existing cluster, recovering from a Name Node failure. The Administrator should be highly organized and able to multitask with ease. Features like scalability, data partitioning, low latency, and the ability to handle large number of diverse consumers make it a good fit for data integration related use cases. Some are influenced by personal preference, while others are impacted by the organization’s industry. Channelized Map Reduce outputs based on requirement using Practitioners. Performed both Major and Minor upgrades to the existing cluster and also rolling back to the previous version. Extensive use of LVM, creating Volume Groups, Logical volumes. Used Bash and Python, including Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs and scheduling Lambda functions for routine AWS tasks.