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Worked with analysts to understand and load big data sets into Accumulo. The job duties found on most of the Data Engineer Resume are – installing and testing scalable data management systems, building high performing algorithms and prototypes; participating in data acquisition, developing dataset processes for data mining and data modeling; and installing disaster recovery procedures. For every data source and end point service create a data transformation module that would be executed by the tasking application. Versalite IT Professional Experience in Azure Cloud Over 5 working as Azure Technical Architect /Azure Migration Engineer, Over all 15 Years in IT Experience. Skills : Hadoop, SAS, SQL, hive, map reduce. Wait until all outstanding streaming ingestion requests are complete> Do schema changes. After logging in, the Splunk interface home screen shows the Add Data icon as shown below.. On clicking this button, we are presented with the screen to select the source and format of the data we plan to push to Splunk for analysis. Over 9 years of diverse experience in Information Technology field, includes Development, and Implementation of various applications in big data and Mainframe environments. Objective : Excellence in application development and proving the Single handed support for Consumer Business project during production deployment Having good experience in working with OLTP and OLAP databases in production and Data ware Housing Applications. Manage data ingestion to support structured queries and analysis Maintain system with weekly and daily updates Serve as primary technical member in a team of data scientists whose mission is to quantitatively analyze political data for editorial purposes Design, build, test, and maintain data … Create and maintain reporting infrastructure to facilitate visual representation of manufacturing data for purposes of operations planning and execution. Performance tuning on Table level, updating Distribution Keys and Sort keys on tables. Worked on Q1 (PCS statements for all internal employees)/Q3 Performance and Comp reporting, Compliance and Tax audit reporting. Collaborated and coordinated with development teams to deploy data quality solutions, while creating and maintaining standard operating procedure documentation. Hadoop, Scala, Spark, Spark SQL, Spark Streaming, Oozie, Zookeeper, Kafka, Pig, Sqoop, Flume, MongoDB, HBase, MLlib, Tableau, Junit, Pytest. Built a high-performance Intel server for a 2 TB database application. Implemented fundamental web functions using, Fixed cross browser compatibility issues for Chrome, Firefox, Safari, and IE, Implemented dynamic web applications using. Worked on Machine Learning Algorithms Development for analyzing click stream data using Spark and Scala. If you need to write a resume for a data scientist job, you should have a highly captivating objective statement to begin the resume, to make it irresistible to the recruiter. Chung How Kitchen managed to display the restaurant information to their customers. 2. Developed pipelines to pull data from Redshift and send it to downstream systems through S3 and performing Sftp. Objective : More than 10 years of IT experience in Data Warehousing and Business Intelligence. So the actual 'data ingestion' occurs on each machine that is producing logs and is a simple cp of each file. Worked on Recruiting Analytics (RA), a dimensional model designed to analyze the recruiting data in Amazon. Task Lead: Lead a team of software engineers that developed analytical tools and data exploitation techniques that were deployed into multiple enterprise systems. Data lakes store data of any type in its raw form, much as a real lake provides a habitat where all types of creatures can live together.A data lake is an The businesses and fields that can be updated are contract-dependent. Utilized the HP ARC Sight Logger to review and analyze collected data from various customers. Downstream reporting and analytics systems rely on consistent and accessible data. Created Indexes for faster retrieval of the customer information and enhance the database performance. Used Spark and Scala for developing machine learning algorithms which analyses click stream data. Collaborate with Django-based reporting team to generate customizable executive reports. Skills : Python, MySQL, Linux, Matlab, Hadoop/MapReduce, R, NoSQL. Objective : Over Six years of experience in software engineering, data ETL, data mining/analysis Certified CCA Cloudera Spark and Hadoop Developer Substantially experienced in designing and executing solutions for complex business problems involving large scale data warehousing, real-time analytics and reporting solutions. 2+ years’ experience in web service or middle tier development of data driven apps. Since it supports various types of data, it allows for the data to be processed with a variety of tools simultaneously. Maintained the Packaging department's budget. Understanding the existing business processes and Interacting with Super User and End User to finalize their requirement. Finalize and transport into production environment. Works with commodity hardware cheaper than that of a data warehouse. Integrate relational data sources with other unstructured datasets with the use of big data processing technologies; 3. The project is to build a fully distributed HDFS and integrate necessary Hadoop tools. (1) Since I am creating a copy of each log, now I will be doubling the amount of space I use for my logs, correct? The purpose of this project is to capture all data streams from different sources into our cloud stack based on technologies including Hadoop, Spark and Kafka. Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. Skills : Teradata, SQL, Microsoft Office, Emphasis on Microsoft. HDFS, MapReduce, HBase, Spark 1.3+, Hive, Pig, Kafka 1.2+, Sqoop, Flume, NiFi, Impala, Oozie, ZooKeeper, Java 6+, Scala 2.10+, Python, C, C++, R, PHP, SQL, JavaScript, Pig Latin, MySQL, Oracle, PostgreSQL, HBase, MongoDB, SOAP, REST, JSP 2.0, JavaScript, Servlet PHP, HTML5, CSS, Regression, Perceptron, Naive Bayes, Decision tree, K-means, SVM. The data ingestion layer is the backbone of any analytics architecture. Fixed ingestion issues using Regex and coordinated with System Administrators to verify audit log data. Summary : A results-oriented senior IT specialist and technical services expert, with extensive experience in the technology industry and financial industry, has been recognized for successful IT leadership in supporting daily production operations and infrastructure services, application development projects, requirements gathering and data analysis. Not really. If your goal is to find resume skills for a specific job role that you are applying for, you can right away use RezRunner and compare your resume against any job description . Moreover, using Spark to enrich and transform data to internal data models powering search, data visualization and analytics. Enjoy creative problem solving and getting exposure on multiple projects, and I would excel in the collaborative environment on which your company prides itself. Performed in agile methodology, interacted directly with entire team provided/took feedback on design, Suggested/implemented optimal solutions, and tailored application to meet business requirement and followed Standards. Knowledge and experience in “big-data” technologies such as Hadoop, Hive, Impala. The candidate for this position should demonstrate these skills – a thorough knowledge of MySQL databases and MS SQL; demonstrable experience working with complex datasets, experience in internet technologies, familiarity in creating and debugging databases and system management expertise. Report Development - Interview customers to define current state and guide them to a destination state. Experience building distributed high-performance systems using Spark and Scala Experience developing Scala applications for loading/streaming data into NoSQL databases (MongoDB) and HDFS. Importing data from files from S3, and from SQLWorkbench data pumper to Redshift tables. Team lead in company integration, obtaining the all active and historic bill of materials, costing comparisons and specifications. Maintenance and up gradations of technical documents were done regularly. Skills : Hadoop, spark, Hive, Hbase, SQL, ETL, Java, Python. Database migrations from Traditional Data Warehouses to Spark Clusters. Also, we built new processing pipelines over transaction records, user profiles, files, and communication data ranging from emails, instant messages, social media feeds. Data ingestion in Splunk happens through the Add Data feature which is part of the search and reporting app. The domain is still strongly dominated by men (69%), who can hold a conversation in at least two languages (not to be confused with programming languages, which, if included, would at least double this number). WSFS Bank is a financial services company. Cyber Engineer: Worked with analysts to identify patterns in network pcap data. Establish an enterprise-wide data hub consisting of a data warehouse for structured data and a data lake for semi-structured and unstructured data. In that case, you will need good foundational knowledge of database concepts and answer more targeted questions on how you would interact with or develop new databases. An equivalent of the same in working experience will also be accepted. Motivated Robotics process automation developer with 6+ years of experience in major vendors like Automation Anywhere, UiPath and Blueprism managing all levels of large scale projects, including analysis and administration. 1,678 Data Ingestion Engineer jobs available on Indeed.com. You have demonstrated expertise in building and running petabyte-scale data ingestion, processing and analytics systems leveraging the open-source ecosystem, including Hadoop, Kafka, Spark or similar technologies. Created multi-threaded application to enhance the loading capability of the data. Worked with the team to deliver components using agile software development principles. Issue one or several .clear cache streaming ingestion schema commands. Use semantic modeling and powerful visualization tools for … Served as the big data competence lead responsible for $2M business, staff hiring, growth and go-to-market strategy. Data onboarding is the critical first step in operationalizing your data lake. Please provide a type of job or location to search! Collaborated with packaging developers to make sure bills of material, specifications and costing were accurate and finalized for a product launch. Reviewed audit data ingested in to the SIEM tool for accuracy and usability. Apply to Data Engineer, Cloud Engineer, Business Intelligence Developer and more! Extensive Experience in Unit Testing with, 6+ years work experience in the fields of computer science includes, Hands on Experience in Hadoop ecosystem including, Hands-on experience on RDD architecture, implementing, Worked in building, configuring, monitoring and supporting, Extensive experience in data ingestion technologies, such as, Experience in designing time driven and data driven automated workflow using, Extracted data from log files and push into HDFS using, In depth understanding of Hadoop Architecture, workload management, schedulers, scalability and various components, such as, Good knowledge of Data Mining, Machine Learning and Statistical Modeling algorithms including, Experienced in Machine Learning and Data Mining with Python, R and Java, Hands on experience in MVC architecture and, Designed and implemented scalable infrastructure and platform for large amounts of data ingestion, aggregation, integration and analytics in, Import data from difference sources like HDFS/, Designed and created the data models for customer data using, Using Spark SQL and Spark Streaming for data streaming and analysis, Developed Spark programs in Scala to perform data transformation, creating DataFrames and running, Loaded large sets of structured, semi-structured, and unstructured data with, Installed and configured the spark cluster as well as integrating it with the existing Hadoop cluster, Migrated MapReduce jobs into Spark RDD transformations using java, Loaded data into Spark RDD and do in memory data computation to generate the output response, Worked with analytics team to build statistical model with, Workedwith analytics team to visualize tables in, Responsible for building scalable distributed data solutions using, Installed and configured Hadoop clusters and Hadoop tools for application development including, Extracted and Loaded customer data from databases to HDFS and Hive tables using, Performed data transformations, cleaning and fiiltering, using, Analysed and studied customer behavior by running Pig scripts and Hive queries, Designed and developed of application using, Developed database schema and SQL queries for querying, inserting and managing database, Implemented various design patterns in the project such as Data Transfer Object, Data Access Object and Singleton. When writing your resume, be sure to reference the job description and highlight any skills, awards and certifications that match with the requirements. Formulated next generation analytics environment, providing self-service, centralized platform for any and all data-centric activities which allows full 360 degree view of customers from product usage to back office transactions. The project is to design and implement different modules including product recommendation and some webpage implementation. Getting Started With Your API. Build a knowledge base for the enterprise-wide data flows and processes around them; Manage and build in-house MDM skills around various MDM technologies, Data Quality tools, database systems, analytical tools and Big Data platforms RA sources the data from ART (internal recruiting DB) and ties it with the various dimensions from PeopleSoft. Designed Distributed algorithms for identifying trends in data and processing them effectively. Infoworks not only automates data ingestion but also automates the key functionality that must accompany ingestion to establish a complete foundation for analytics. It is a fact that the quality of your career objective statement can determine if the recruiter finds your resume worth reading, for them to read the whole of the document. Delivered a financial data ingestion tool using Python and MySQL. Objective : Highly qualified Data Engineer with experience in the industry. Skills : C/C++, Python, Matlab/Simulink, XML, Shell scripting, YAML, R, Maple, Perl, MySQL, Microsoft Office, Git, Visual Studio. Conducted staff training and made recommendations to improve technical practices. Developed various graphs using Spotfire and MS Excel for analyzing the various parameters affecting the project overrun. This company mainly focused on home, auto and business insurance, it also offers wide variety of flexibility and claims. It provides services including ommercial banking, retail banking and trust and wealth management. Design and Develop of Logical and physical Data Model of Schema Wrote PL/SQL code for data Conversion in there Clearance Strategy Project. Yes. Ruby Development - Created a task scheduling application to run in an EC2 environment on multiple servers. Consulted with client management and staff to identify and document business needs and objectives, current operational procedures for creating the logical data model. Automated data loads leverage event notifications for cloud storage to inform Snowpipe of the arrival of new data files to load. Define real-time and batch data ingestion architecture using Lambda approach, including Kakfa, Storm and Hbase for real-time as well as Sqoop and Hive for batch layer. Objective : 5 years of professional experience, including 2+ years of work experience in Big Data, Hadoop Development and Ecosystem Analytics. 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