python with big data resume

Now before you wonder where this article is heading, let me give you the reason of writing this article. Learned python in 3 months to a proficient level. Extracted specified areas from a brain image as a mask using Advanced Normalization Tools (ANTS). Over 7+ years of strong experience in Data Analyst, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Statastical modeling, Data modeling, Data Visualization, Web Crawling, Web Scraping. Programmed, tested, and implemented a user login, product registration, order placing & tracking, and statistics reporting system in eight months. 31. Python Developers are in charge of developing web application back end components and offering support to front end developers. BigQuery, DataProc, Professional Services (customer facing) experience architecting large scale storage, data center and /or globally distributed solutions, Experience with building end-to-end machine learning products, Experience in managing handling technical implementations, Experience managing and leading a development team, preferably within the information management domain is required, Experience working with relational databases as well as with Hadoop-based data mining frameworks, Experience with Architecting Distributed Solutions dealing with high volume of data on highly-scalable, multi-node environments, Experienced in working with Caching solution like Hazelcast, Apache Ignite or similar, Experience in Business Intelligence and Data Warehousing environment, Experience in machine learning, for example, Tensor flow, Turi, Spark ML lib, and R, Significant experience working with large amounts of real data, Strong understanding of DevOps methodologies and concepts, Or more semiconductor work experience, with specialization in Yield, Quality or Process Engineering, Experience in business intelligence, data warehousing, analytics, big data, Experience with leading a software development team, Solid understanding of security architecture concepts, Experience in data manipulation and performance reporting, Hands on experience of SDLC within the Hadoop eco-system including HBase, MapReduce, Pig, Hive, Oozie and Flume, Strong SQL/data analysis or data mining background, common/reusable components, Audit Controls, ETL Framework, Experience in delivering multiple projects in a fast paced and pressured environment, Extensive hands on programming experience on multiple systems, Experience of working on data management and analytics solutions, specifically with large volume, high velocity data intake and unstructured data, Strong interpersonal, analytical, and problem-solving skills with proven capability to deliver excellent results in competitive environment, Familiar with Linux/Unix system, good shell programming skills, Good Communication, estimation skills, configuration mgmt, Strong interpersonal skills and ability to project manage and work with cross-functional teams, Strong organizational skills to manage multiple timelines and complete tasks quickly within the constraints of clients’ timelines and budgets, + Prior Financial Services Industry experience, especially in the Risk or Finance Technology area or Reference Data experience, Strong Java, Python or Scala development skills, Excellent written and verbal communication skills, including technical presenting and interacting with colleagues across organizations. Professional Experience. I hope this Big Data Engineer Resume blog has helped you in figuring out how to build an attractive & effective resume. 3. Language: Python. Database modeling and design. Development in Python, Perl, SQL in Linux OS of Bioinformatics pipelines for Analysis of NGS data, Statistics, algorithms, data structures, relational databases, SQL programming (MySQL, PostGreSQL, Oracle), Managed Big Data for Biological Sequences in Intellectual Property US + International Patent Filings Discovery, Working closely with biologists in designing experiments, provide bioinformatics support of their work, IP, Used the Python language to develop web-based data retrieval systems, Performed data entry and other clerical work as required for project completion, Performed descriptive and multivariate statistical analysis of data using Matlab, Accepted into DreamIt Ventures, an Austin Tech Accelerator, portfolio company [company name], Sole developer of Desktop file monitoring client which integrated into [company name]'s cloud service, Experience with asynchronous sockets, file system monitoring, and native applications on OSX, Linux, and Windows platforms, Agile web development using Django/Python, Implement product features with test-driven development. -Python Programming - Big Data: Tools & Use Cases-Hadoop: Distributed Processing of Big Data - Business Research Methods. For more information on what it takes to be a Python Developer, check out our complete Python Developer Job Description. Managed companies virtual servers at Amazon EC2, S3, Created a portable fully automated test tool, allowing 24/7 integration support for two development sites around the world and decreasing code turnaround time from 4 hours to 1 hour, Automated the daily and weekly build process to allow us to build daily builds twice a day for faster turnaround time for submitted code changes, Automated the code release process, bring the total time for code releases from 8 hours to 1 hour. Strong verbal and written communication skills are a key. ... Json files to speed up data display, Windows Server platform, SQL Server, SQL scripts, and Python for data manipulation. Reading the Resume. 10 months ago. Exprienced in RSpec, Git, Object-oriented programming, MySQL, JavaScript, jQuery and, Amazon Web Services, Knockout. It’s hot. Data Analyst Intern, Relishly, Mountain View April 2015 – Present. So, if you want to achieve expertise in Python, then it is crucial to work on some real-time Python projects. The system will be used by over one hundred employees in Brazil. Big Data/Hadoop Developer 11/2015 to Current Bristol-Mayers Squibb – Plainsboro, NJ. The Udemy Spark and Python for Big Data with PySpark free download also includes 7 hours on-demand video, 4 articles, 29 downloadable resources, Full lifetime access, Access on mobile and TV, Assignments, Certificate of Completion and much more. Experience in mid to large scale Data warehouse with experience on BI Delivery and Architecture, Advanced skills in analyzing large, complex, multi-dimensional datasets with a variety of tools, Experience with tuning Big data solutions to improve performance and end-user experience, Excellent knowledge, experience with the Hadoop stack (Hadoop, Hive, Pig, Hbase, Sqoop, Flume, Spark, Kafka, Shark, Oozie, etc. Resume building is very tricky. Developed Python and Perl HPC software for NextGen Sequence Data Bioinformatics Analysis Pipelines, Designed robust, scalable, secure, and globalized web-based applications, Developed application for processing raw hydrophone and geophone data. Data Visualization: Matplotlib. The best examples from thousands of real-world resumes, Handpicked by resume experts based on rigorous standards, Tailored for various backgrounds and experience levels, Built application interface and web scrapping scripts using OO designing, UML modeling and dynamic data structures, Developed new features of Agfa's Mobile Publishing Newspaper Automation System (Arkitex Cloud)Eversify Project (a SaaS solution that helps publishers to produce mobile newspapers in an automated way), Developed applications using Python and MySQL for database design. So putting on my creativity hat, I set out to find a new way of creating a resume that could quickly display technical data-visualization skills in a way that feels natural and clear. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular big data position you're applying to. Developed a fully automated continuous integration system using Git, Gerrit, Jenkins, MySQL and custom tools developed in Python and Bash. Representative Big Data resume experience can include: Make sure to make education a priority on your big data resume. Developed server based web traffic statistical analysis tool using Flask, Pandas. Communicate effectively (both verbal and written) and work in a team environment. Good Data Analyst Resume Summary. Managed, developed, and designed a dashboard control panel for customers and Administrators using Django, OracleDB, PostgreSQL, and VMWare API calls. In our upcoming blog on Big Data Engineer salary, we will be discussing different factors that affect the salary of a Big Data Engineer. And this is the result… Deployed on AWS EC2 with S3 file storages and a PostgreSQL database. by Swapnil Tirthakar. Python and big data are the perfect fit when there is a need for integration between data analysis and web apps or statistical code with the production database. Configured two Ubuntu OpenLDAP servers with replication. Designed and developed integration methodologies between client web portals and existingsoftware infrastructure using SOAP API's and vendor specific frameworks. 3+ years of experience in analyzing and working with Big Data using Spark/Python/R Hands-on experience with YARN, HDFS, Spark, Kafka, Hive and relevant ETL experience Expert level understanding of machine learning algorithms, statistical models, predictive analytics and scalable algorithms is a big … ), Strong experience on different data file formats (I.e. So, I decided to explore PDF packages like PDFminer or PyPDF2. Analyze customer’s data to build drug-like compound activity prediction model use statistical methods, such as, multivariate linear regression (MLR), etc. CSV, XML, JSON, BSON, AVRO, ORC etc. Typical responsibilities included in a Python Developer resume examples are writing code, implementing Python applications, ensuring data security and protection, and identifying data storage solutions. on AWS, Intermediate to senior level experience in an Apps Development role. Big Data experience with hands on coding and development experience in Scala, Python, or Java. Simple web app for reviewing sitcoms that gives users the ability to view, add, review, up/down vote, search, etc. Developed and designed e-mail marketing campaigns using HTML and CSS. Principal Data Intelligence Specialist – Python / Big Data / Spark / Hadoop / MongoDB Our world leading telecommunications company are looking for an exceptional Data Intelligence Expert to join and lead their team working on next generation mobile devices. • Developed Map reduce program to extract and transform the data sets and resultant dataset were loaded to … – Paul Dubois. Manage a technician that oversees automation and carries out daily tasks. Good experience of different databases, such as Oracle, Teradata, MS SQL Server, Sybase, and etc. It’s the one thing the recruiter really cares about and pays the most attention to. The majority of companies require a resume in order to apply to any of their open jobs, and a resume is often the first layer of the process in getting past the “Gatekeeper” — the recruiter or hiring manager. © 2021 Job Hero Limited. If you are looking for a data science job, you should set up your resume to showcase your experience and skills. Expertise in working with big data analytics, and complex data structures, are a must. ; Responsible for building scalable distributed data solutions using Hadoop. Developing a Brain Imaging Database System using Python, Django and Matlab. When applying for a Big Data job, or rather for the post of a Big Data Engineer, your resume is the first point of contact between you and your potential employer. Worked on analyzing Hadoop cluster and different big data analytic tools including Pig, Hive, Spark, Scala and Sqoop. Apply to Data Engineer, Software Engineer and more! ... Python, or Java Experience with big data interactive query technologies like Spark, Hive, or Impala Experience with Spark and/or Kafka Experience with Scala Python is considered as one of the best data science tool for the big data job. Effective Demand Planning & Agility of delivery, Effective Design & Architecture & Technical Deployment, Provide guidance and direction to the offshore team and follow standard methodologies to drive towards business goals, Our infrastructure is 100% deployed on AWS, We make heavy use of Spark to process and transform data, We use Presto and Redshift for ad-hoc queries and analysis, Difficulty operating in an excellent manner reporting services to a large number of internal clients, who work in different functions, focused on solving business problems of a very different nature (commercial, technical, financial, operational, etc.) Implemented discretization and binning, data wrangling: cleaning, transforming, merging and reshaping data frames, Determined optimal business logic implementations, applying best design patterns, Increased speed and memory efficiency by implementing code migration to convert python code to C/C++ using Cython, Maintained and improved existing Internet/Intranet applications, Created user information solutions and backend supports, including wrote programs that allow Eversify, Built-up and configured server cluster (CentoOS /Ubuntu), Created test cases during two week sprints using agile methodology, Designed data visualization to present current impact and growth, Developed Natural Language Processing and Machine Learning Systems, Created RESTFUL API's for several of our Intranet applications using open source sof tware, Managed a small team of programmers using a modified version of the agile development, Designed and developed corporate website using the D jango framework, Designed and developed a corporate intranet that is used in daily work flow to increase, Created multiple advertorial pieces from concept and managed small advertising campaigns, Managed windows servers which included Active Directory maintenance and support, Created a work flow using technologies such as GIT/SSH to develop multi -programmer. Wrote a program to use REST API calls to interface with Veeam backup server, and parse output reports of an excel file in python to monitor customer backup usages. machine learning), Experience implementing AWS architecture and services Experience creating environments (e.g., development, test, etc.) HBase, Cassandra, MongoDB etc. Thorough and meticulous Data Analyst passionate about helping businesses succeed. ), Working experience with Tableau or other Business Intelligence and Analytics tools, Working experience or knowledge in Agile development, Experience designing and implementing fast and efficient data acquisition using Big Data processing techniques and tools, Engineering Experience - building and supporting mission critical user-facing, large-scale and distributed systems, Strong background in architecting and delivering real time messaging applications, Experience working with all aspects of distributed processing, including Hadoop, Hive, Apache Spark and Cassandra, Experience leading and managing software development teams using AWS, Hadoop/Big Data tools, Experience with data warehouses including Data modeling, SQL, ETL tools, data visualization and reporting, Experience working with Java as hands on developer, architecting applications with 3+ years of leading a team, Has prior experience identifying, analyzing, and troubleshooting problems in solutions, analytics, and data, Strong experience in architecting and implementing real-time big data pipelines (Kafka / Spark Streaming / Flink / Message Queues / REDIS), Experience launching, managing, and measuring complex projects, Tech lead experience with expertise in designing & developing high quality big data solutions, Experience in developing programming practices, Experience developing and deploying applications to cloud-based architectures such as Amazon AWS, Experience or familiarity with streaming toolsets such as Kafka, flink, spark streaming, and or Nifi/StreamSets, Experience is architecting and developing scalable real-time or near real-time applications, Professional experience implementing large scale secure cloud data solutions using AWS data and analytics services (S3, EMR, Redshift), Experience in development using Big Data processing frameworks such as Hadoop and Spark, Significant experience with processing large amount of data, both structured and unstructured, Strong knowledge in Java and scripting languages such as Shell, Python, Experience in Engineering and/or Administration on back-end systems, Very strong knowledge of Data warehousing best practices for optimal performance in an MPP environment, Experience with Machine Learning and Computational Statistics, Experience with Cron, CTRL M, and scheduling of batch jobs, Experience performing 24 by 7 Production Support on applications, Participate in improve function excellence by recommending changes in policies and procedures to drive efficiency and effectiveness of teams, Experience with infrastructure engineering, Excellent opportunity to design/develop enterprise applications in Finance & Risk technology area, using big data platform, Demonstrated success translating business requirements to technical specifications, Experience in deploying ML models for real-time predictions preferably in AWS (SageMaker, etc. Implemented a review process in integration automation using Review Board and Gerrit that eliminated the need for a 5 hour per week daily approval meeting, Developed a web tool that monitors and drives the automated continuous integration system allowing release managers to track changes, Played a key role in a department wide transition from Subversion to Git, which resulted in an increase in efficiency for the development community, Developed a Coverity mail script that extracts code defects data per component for a daily report to drive reducing defects in the codebase. Find out what is the best resume for you in our Ultimate Resume Format Guide. Apply to Data Warehouse Engineer, Python Developer, ETL Developer and more! And it also pays well. Designed a web based system to improve business intelligence, logistics, manage inventory and sales, and forecast demand. The work experience section should be the detailed summary of your latest 3 or 4 positions. Create a Resume in Minutes with Professional Resume Templates. Boston concert aggregator that provides a comprehensive list of shows in Boston with track previews, album artwork, tagging, up/down voting, and more to help users find the best show in town. This system is used in researches on neuropsychiatric disorders and their treatment. Cluster maintenance activities such as patching security holes and updating system packages, Defining, evangelizing and supporting technology and business partners who use the platform, Advising on GDT technical decisions including architecture approach, solution design and detailed troubleshooting, Designing and deploying large scale distributed data processing systems, Implementing data intensive software product for network analytics, monitoring and troubleshooting, Willing to take on ownership of delivering solutions in cutting edge technologies, Distributing and centralising external research on insights & analytics, Providing technical leadership for technology teams delivering on the big data platforms, Resolving technical issues and advising on best practices for big data, Hadoop environments and AtScale, Driving successful installations of the product, configuration, tuning, and performance, Assisting with capacity planning for the environment to scale, Being meticulous about tracking things and follow-through, Managing team assignments by assessing subject area knowledge, individual capacity, and project demands, Evaluating candidates for new positions including FTEs & contractors, Understanding of the main causal inference concepts (A/B testing, treatment and control groups, inference on observational data), Analyzing/measuring the quality of data ingested into Cigna's Data Lake, Working knowledge of relational databases and SQL query tuning, Maintaining up-to-date organisation chart and global & market analytics & insights contacts, Launching internal SharePoint site, from content creation to communication, Establishing enterprise wide collaboration across functions, Working in collaboration with Accenture’s global network of experts and delivery centres, Setting up the technical framework for the technology and business teams, Participating in, map, design, implementation, unit test, performance, and regression test phases, Ensuring modularity, reusability and quality of designed and implemented components, Researching and evaluation of new tools and technologies to solve complex business problems, Managing a team of 5-7 FTE and 5-15 vendor resources (with frequent growth / mix changes) and provide feedback for individual contributor development, Coordinating with team to implement continuous process improvements, Ensuring the necessary and complete documentation is created, Working with production scale Machine Learning, Ensuring adherence to process and quality, and identifying project/program delivery risks and works on risk mitigation, Building marketing collaterals for Insurance specific solutions and share learnings across practices, Ongoing responsibility to manage the technology debt across the inventory of data services products, Applying the concept of continuous improvement, Work with the teams in facilitating architectural guidance, planning and estimating cluster capacity, and creating roadmaps for deployment, Engage in capacity planning and demand forecasting, anticipating performance bottlenecks and scaling the environment as needed, Develops and deploys solutions using data analysis, data mining, optimization tools, machine learning techniques and statistics, Responsible for designing and building new Big Data systems for turning data into actionable insights, Lead the engineering team responsible for the implementation and support of data ingestion, data processing and machine learning pipelines. If your resume impresses an employer, you will be summoned for a personal interview. 7,278 Python Big Data Engineer jobs available on Indeed.com. Include the Skills section after experience. Candidate Info. Java Big Data Developer , 10/2018 to 05/2020 Trinet Group Inc. – Charlotte, NC Developed cluster-automation script for deploying kitchen templates (4 VM's – 24hrs validity) and standard 4 Node cluster. The Code and Explanations. Created and managing the batch processes for retrieving Market Data, Valuation and Greeks for various VAtreaties (Python), Programmed Android application "Baby Music Fun" using Phonegap framework. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree. I chose PyPDF2. Include the Skills section after experience. Get hired as a data scientist with Top Data Science Interview Questions. Python coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and much more. Below are some skills to add to your data scientist resume. Advanced Data Science Projects 3.1 Image Caption Generator Project in Python. ), Strong ETL experience on Informatica or Ab Initio, Proven Development and Delivery experience, In-depth expertise on Core Java & Java EE conceptual and programming skills, Technical/problem solving, analytic skills, Good experience in working with NoSQL systems, Sound Linux admin skills and one query language/database, Excellent core Java / C++ development experience, Consolidate, validate and cleanse data from a vast range of sources – from applications and databases to files and web services. Big Data Architects are responsible for designing and implementing the infrastructure needed to store and process large data amounts. Proficiency in facilitating meetings and interviewing skills for running requirements gathering workshops, Computer programming, operating system programming, and performance analysis skills, Experience working with Java as hands on developer, architecting applications with experience leading a team, Prior experience with remote monitoring and event handling using Nagios, Strong experience writing Programs using PL/SQL and queries using SQL, Skills in working with open source statistical analysis environments to develop predictive models (e.g.

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