data engineer and data analyst resume

We have frequent panel discussions and talks by industry leaders (Sheryl Sandberg, Melinda Gates and Ta-Nahesi Coates are a few recent examples), We believe diversity fuels innovation and creativity, and we have a variety of employee groups dedicated to fostering a diverse and inclusive workplace, We offer a generous parental leave policy, which was recently expanded in response to employee feedback. in a Financial environment, Performs impact analysis against metadata manager directories, creates and maintains data lineage for Data Governance, Good team player, with ability to professionally interact with a diverse blend of architects and developers to reach optimal resolution and maintain strong relationships, Minimum 4 years of work experience in ETL, data modeling and data warehousing, Strong experience in ETL and Big Data Technologies like Talend, Hadoop, Greenplum, HVR, HIVE etc, Strong programming experience in SQL, writing stored procedures, functions etc, Work effectively with project managers to understand and deliver on project requirements and deadlines, Work closely with the BI and ERP project leaders, global and local IT and functional teams to deliver projects on-time, budget and quality, Drive solution identification, feasibility analysis and implementation for approved BI projects, Support the preparation of long term BI plans and Datawarehouse concepts and assure that they are in line with business objectives, Monitor vendor team performance and ensure continuous improvement, Work on local and global business synergies, best practice sharing and process simplification improving the existing BI solutions, Ensure necessary services and infrastructures are available and run in line with required service levels, Periodically review, benchmark, communicate and enhance service levels with other sites, GE Businesses, Work as a business partner with IT and functional teams, help to evaluate and improve business processes and arrive at mutual, cost effective solutions, Maintain current knowledge of information technologies that are applicable to business objectives, Organize regular end user involvement and trainings to be expert in BI solutions, Play a key role as an IT champion on EHS field and influence others to strictly follow and proactively play by the EHS rules, Immediately report the incidents and near misses to the direct reports and EHS department, Immediately shut down the operation when realized life or serious injury risk present, BS or BA degree in Computer Science, MIS, Business or related field or relevant experience, Strong experience in BI / DWH area, deep understanding of ERP systems (preferably Oracle), Experience with reporting and analysis tools (Business Objects, Tableau, Cognos), Experience of major databases (Oracle, MS SQL Server and/or MySQL), Excellent communication skills, fluent English, Hungarian is must, Ability to work with remote and 3rd party teams to drive rollouts, Advanced level of computer technology (Servers, Database, Virtualization, Application development, etc. preferred, Server management and administration including basic scripting, Experience with reporting tools like OBIEE, Microstrategy and Tableau, 2+ years developing end to end BI solutions: data modeling, ETL and reporting, 2+ years experience in relational database concepts with a solid knowledge of star schema, Oracle, SQL, PL/SQL, OLAP, Linux, Exposure to large databases, BI applications, performance tuning, Effective communication and strong collaboration skills are requirements for the position, Experience with multiple database platforms is a plus, Experience with managing production database servers, Thrives in a fast-paced, innovative environment, Bachelor’s degree in Business Administrations, Computer Science, Information Systems, Engineering or equivalent experience, 2 years SQL Server database query and reporting experience using ETL, data warehouse, and SSAS/SSRS tools, Experience with at least one full cycle of BI solution development and deployment, including product presentation and end user training, Experience managing software change requests and user access control, Ability to travel up to 25% of time globally based on project requirements, Master’s degree in Computer Science, Business Administration or related fields, Working knowledge of fundamental relational database design, data warehouse and Business Intelligence best practices, methodologies and terminology, 3 Years working experience on Infor EAM software package, including: software configuration, dashboard development using Cognos, Microstrategy, Business Objects or SSRS reporting tools. It’s actually very simple. Proactively anticipate and prevent problems, Collaborate with other members of formal and informal groups in the pursuit of common missions, vision, values and mutual goals, Provide general and in-depth support/guidance for Blue Waters science teams in multiple areas of specialization, Engage the data science community to improve the capability and performance of data science software on HPC systems, Keep abreast of developments in the high-performance computing field, writing technical reports, conference and journal papers as appropriate, review scientific papers and proposals as appropriate, Participate in writing joint proposals with Blue Waters staff and/or application teams, BA/BS degree in engineering, mathematics, science, computer science, or related field. As a Big Data Engineer… Without wasting any time, let us quickly go through some job descriptions which will help you understand the industry expectations from a Big Data Engineer. DATA ENGINEER. Acquiring data from primary/secondary data … Save time by using our resume builder, or create your own with these professionally written writing tips. Highly efficient Data Scientist/Data Analyst with 6+ years of experience in Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization, Web Scraping. Experience with continuous integration technologies is a plus, Strong understanding of the agile software development life cycle, Knowledge of Amazon Web Services (AWS) and Redshift in an enterprise environment is a plus, Strong customer service and communication skills (verbal and written) to effectively interact with a diverse team of people across business and engineering, Bachelor’s degree in computer science, a quantitative concentration or equivalent, Willingness and self-initiative to dig into the technical concepts related to the data platform, Proactive in improving development, testing, continuous integration, and production deployment processes, Self-initiative to stay on top of the latest innovations in data technology to inform platform features and functionality, Strong critical thinking, problem solving, programming skills and computer science knowledge, Practical, hands-on experience with data platforms and tools, Experience with algorithms; understand general machine learning / data mining concepts, Data instrumentation / capture / tracking experience is a plus, Develop and maintain our Big Data pipeline that transfers and processes several terabytes of data using Apache Spark, Python, Apache Kafka, Hive and Impala, Design/Build reports and dashboards using Tableau, Perform ad hoc data analysis, data processing and data visualization using SQL and other scripts, Work directly with product stakeholders at the company to help them solve their most difficult problems, Excellent Programming skills using Python, Scala, Perl, Shell, etc, Familiarity with SQL and NoSQL technologies, Experience with Production Hadoop ecosystem, Proficiency with relational databases and SQL, Experience with Tableau or other reporting tools, Well versed in software development principles and processes including: analysis, design and continuous delivery, Good communication skills that can deal with diverse types of people from Data Science, Marketing, Finance, Product Management and QA groups, 2+ years of Java and/or Python development experience is necessary, 2+ years of SQL (Oracle, Vertica, Hive, etc) experience is required, 2+ years of LAMP stack development experience is necessary, 5+ years of experience with dimensional data modeling & schema design in Data Warehouses, Unmistakable passion for elegant and intuitive user interfaces, Experience working with either a Map Reduce or a MPP system on any size/scale, Ability to write well-abstracted, reusable code components, Program in SQL to support business enhancements to the WebServices middle tier, Write complex SQL queries to provide critical business analysis and reporting, Suggest and implement database performance and capacity enhancements, Participate in build of strategic data management platform by developing semantic models, tracing complex data lineage and loading data into metadata repository, Program with industry-standard tools for large-scale data mining and scanning such as Splunk, Develop and use reporting and analytic tools to gain insight into complex data, Build interfaces to vendor/open source products to ingest data into analytic data stores, Code ETL solutions to combine data from multiple sources, Expert level SQL query and stored procedure development experience (DB2 preferred), 5+ years SQL programming and implementing relational database models (DB2 preferred), Experience with data architecture, data management and/or database administration a plus, Experience with vendor reporting products such Ab Initio, Cognos is useful, BS, or MS in Computer Science or related technical discipline (or equivalent), 8+ years’ work experience in software development area with at least 5+ years’ experience in Java programming, Excellent understanding of computer science fundamentals, data structures, and algorithms, Solid DB skills, data mining expertise are preferred, Experience of Hadoop, Map/Reduce, Kafka, Storm,etc is preferred, Working Experience in Multi-national Company is a plus, Work as part of team on implementing complex data projects with a focus on collecting, parsing, analyzing and visualizing large sets of data to turn information into insights across multiple platforms, Design, Implement and support Data Models, ETLs that provide structured and timely access to large datasets, Build fault tolerant, self-healing, adaptive and highly accurate ETL platforms, Develop and maintain programs on source systems, ETL applications, data cleansing functions, system management functions including load automation, data acquisition functions and others, Design and develop the data model (s) for the DW, marts or NoSQL solutions, which will be vetted by the data solutions team and or guided by the Senior Data Solutions Architect, Responsible for data administration of warehouse solutions, Take ownership of the Informatica warehouse solutions and provide production support, Document processes and standard operating procedures for processes, Generate reports using Business Objects, Tableau or Pentaho, Five years experience building data warehouse solutions and working knowledge of ETL, Five years experience building ETL solutions of Informatica and in depth knowledge of debugging and optimizing workflows, Two years work experience with scripting languages such as Java, Python, Linux, Five years work experience with Oracle database and expertise in creating Oracle Stored procedures and functions, Five years experience working with complex SQL, Experience in creating Unix Shell Scripts, Five years experience with object-oriented design, coding and testing patterns as well as experience in engineering open source software platforms and large-scale data infrastructures, Five years experience performing analysis on complex data structures, Bachelor’s degree or Master’s in information Technology or relevant discipline, To enjoy being challenged and to solve complex problems on a daily basis, To have excellent oral and written communication skills, To be proficient in designing efficient and robust ETL workflows and expertise in Informatica and Pentaho/Kettle, Working experience with Amazon Cloud, BigQuery or Hortonworks Hadoop technologies, To be able to work in teams and collaborate with others to clarify requirements, Strong analytic and problem solving capabilities, Ability to design and implement data warehouse solutions and big data solutions, Working knowledge of MPP Databases such as Redshift, Hive, BigQuery and other Big Data Technologies, Willing to expand technological skill set to Big Data Technologies such as Hive, Pig, MapReduce, Capability to handle sensitive and complex issues with discretion and good judgment, A passion for technology. ), Experience creatingmodels/analysis using machine learning techniques like clustering, associationrules, sequential pattern matching etc, Experience in data integrationand modeling is required, 3 plus years of experience indigital analytics with a solid understanding of interactive marketing channels(e.g., search, social listening, paid and earned media, website, mobile apps,email marketing, mobile messaging), Proficient in Omniture sitecatalyst reporting, Google Analytics, Flurry and social media platforms inaddition to Nielsen data etc, Demonstrated ability to querydata sources directly (SQL and other query languages), Proven ability to use R (oranother statistical package), Expertise in craftingpresentations for specific or broad audiences, Comfortable working both as partof a team, and independently, Experience working with big datatechnologies is a plus, Work closely with business analysts and engineers to design and maintain scalable data models and pipelines, Design, build and launch new data models and data extraction, transformation and loading processes for critical business metrics and data systems, Work with data infrastructure to triage infrastructure issues and drive resolution, BS/MS in Computer Science, Statistics, Mathematics, or other related field, 5 years experience with in the data warehouse space, ETL and with scripting languages, Python preferred, Proven ability to work with varied forms of data infrastructure, including relational databases (e.g., SQL), MapReduce/Hadoop, and column store (e.g., Vertica/Redshift), Strong business judgment. ), Influence and improve data quality by developing and instrumenting application monitoring, health checks, health metadata, and self-healing processes to ensure high reliability and uptime, Automate all of the above where possible to further improve code, application, and data quality, Grow to be a technical subject matter expert for proprietary optimization and analytics efforts, Partner with optimization analysts, system administrators, and project managers to design, build, deploy, and capture effective metrics, Support fellow engineers, business and technology partners, and project stakeholders, contributing to both internal and external open source projects and standards, Prioritize daily workflow and demands on quality, time and resources, Meet all requested development objectives and deadlines as assigned by the engineering manager, Participate in agile and continuous planning ceremonies and provide input on stories, requirements, and acceptance criteria as needed, 4-6 years professional experience in JavaScript/HTML/CSS minimum, 4-6 years professional experience with database-driven commercial websites, 2-4 years experience with a server scripting language (node, Python, Java, Ruby), 1-2 years experience with cloud infrastructure and ops desired (AWS), Demonstrated experience with test and build automation tools (PhantomJS, Casper, Selenium, Grunt, Guard), Experience with Test- and Behavior-Driven Development preferred (Mocha, Chai, Cucumber, etc. Data Analyst Vs Data Engineer Vs Data Scientist – Definition. Highly efficient Data Scientist/Data Analyst with 6+ years of experience in Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization, Web Scraping. QlikView, Amazon Web Services), Willingness to learn health care data and analytics, The ability and initiative to propose solutions to business problems, The person will ideally have strong technical skills in broad variety of data technologies across the stack including: Hadoop (HDFS/Hive), Python, SQL, R, Define and manage best practice in configuration and management of the data store. Help debug and troubleshoot any operational production problems, 3-8 years experience with rich expertise in data modeling, developing reports, analytic dashboards, UI in Business Intelligence environment using OBIEE (preferably), Industry experience as a Data Engineer or related specialty (e.g. Data Analyst . If you're ready to apply for your next role, upload your resume to Indeed Resume to get started.) Business Data Analyst Resume. A versatile programmer with strong debugging skills offers a solid … MapReduce, HIVE, PIG experience is a plus, Strong analytical ability and debugging skills, Experience managing a GNU/Linux environment for development, including package management and basic system administration, You can effortlessly write SQL, even the gnarly queries, and are comfortable interacting with relational databases, The ability to work on and manage multiple concurrent projects for multiple stakeholders is essential, You thrive when given broad objectives with minimal supervision, enjoy a fast paced environment and have excellent written and verbal communications skills, Ability to work and talk directly with the end business users, as well as gather requirements, and execute on said requirement accordingly, Able to exercise discretion and keep strictest levels of confidentiality, Some knowledge building end user visualizations and reports, Tableau, SSRS, or similar reporting software experience is a plus, Designs and builds various data solutions, Cleans, transforms and aggregates unorganised data into databases, Develop, maintain, test and evaluate bag data solutions, Highly experienced in SQL and NoSQL technologies (e.g. Resumes in this field highlight such responsibilities as … Unlike the previous two career paths, data engineering … Data analyst focuses on data cleanup, organizing raw data, visualizing data and to provide technical analysis of data.

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