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Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. Evaluate and ability to influence key technologies include: 1.Data LakeArchitecture, 2.Integration Services, 3.Application Database Services. It’s actually very simple. Apply Now Go Back. Download Senior Big Data Engineer Resume Sample as Image file, Data Visualization Engineer Resume Sample, Responsible for supporting and leading project tasks, Contributes to the overall strategic vision, and integrates a broad range of ideas regarding implementation and support of ADE 2.0, Design, deploy and maintain enterprise class security, network and systems management applications within an AWS environment, Supports demos, conference room pilots, and Fit/Gap sessions and propose options to fill gaps through product configuration, BPR, customizations/extensions, or third-party products, Works as member of a dynamic high performance IPT, Frequent inter-organizational and outside customer contacts, Develops and builds frameworks/prototypes that integrate big data and advanced analytics to make business decisions, Work in a fast-paced agile development environment to quickly analyze, develop, and test potential use cases for the business, Boards are created to provide oversight and guidance on a regular basis – providingsenior sponsorship and involvement throughout the lifecycle of a project, Boards are created to provide oversight and guidance on a regular basis – providing senior sponsorship and involvement throughout the lifecycle of a project, Developing data analytics, data mining and reporting solutions using Teradata Aster and Hortonworks Hadoop, Teams manage cash – budgeting is not on an annual basis but provided to prove business value over multi-year horizons, Teams manage cash – budgeting is not on an annual basis but provided to provebusiness value over multi-year horizons, Working on projects that provide real-time and historical analysis, decision support, predictive analytics, and reporting services, Executes on Big Data requests to improve the accuracy, quality, completeness, speed of data, and decisions made from Big Data analysis, Work closely together with global tech, product and data science teams to develop new ideas, implement and test them, and measure success, Manages various Big Data analytic tool development projects with midsize teams, Work with the architecture team to define conceptual and logical data models, Identifies and develops Big Data sources & techniques to solve business problems, Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, andloading across multiple game franchises, Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members, Ability to work quickly with an eye towards writing clean code that is efficient and reusable, Strong knowledge with one or more scripting languages (python, bash/sed/awk), Strong communication and relationship building skills with a strong intercultural sensitivity, Strong programming skills, strong IT background, Ability to iterate quickly in an agile development process, Ability to drive development of solutions, from architecture to design and development, Ability to learn new technologies and evaluate multiple technologies to solve a problem, Experience with data quality tools such as First Logic, Excellent oral and written communication skills, Ability to build prototypes for new features that will delight our users and are consistent with business goals, Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, or loading across a broad portion of the existing Hadoop and MPP ecosystems, Identifies gaps and improves the existing platform to improve quality, robustness, maintainability, and speed, Interacts with internal customers and ensuresthat solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability, Leads a Scrum team of developers to ensure correct prioritization and delivery of key features within the Core Platform team, managing backlog grooming, sprint entries/exits and retrospectives, Performs development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions, Define technical scope and objectives through research and participation in requirements-gathering and definition of processes, Gather and process raw, structured, semi-structured, and unstructured data at scale, including writing scripts, developing programmatic interfaces against web APIs, scraping web pages, processing twitter feeds, etc, Design, review, implement and optimize data transformation processes in the Hadoop (primary) and Informatica ecosystems, Test and prototype new data integration tools, techniques and methodologies, Adhere to all applicable AutoTrader development policies, procedures and standards, Participate in functional test planning and testing for the assigned application integrations, functional areas and projects, Work with the team in an Agile/SCRUM environment to ensure a quality product is delivered, Rapid response and cross-functional work to deliver appropriate resolution of technical, procedural, and operational issues, A BS degree in Computer Science, related technical field, or equivalent work experience; Masters preferred, Experience architecting and integrating the Hadoop platform with traditional RDBMS data warehouses, Experience with major Hadoop distributions like Cloudera (preferred), HortonWorks, MapR, BigInsights, or Amazon EMR is essential, Experience developing within the Hadoop platform including Java MapReduce, Hive, Pig, and Pig UDF development, Working knowledge of Linux O/S and Solaris environments, Experience with logical, 3NF or Dimensional data models, Experience with NoSQL databases like HBase, Cassandra, Redis and MongoDB, Experience with Hadoop ecosystem technologies like Flume, Certifications from Cloudera, HortonWorks and/or MapR, Knowledge of Java SE, Java EE, JMS, XML, XSL, Web Services and other application integration related technologies, Familiarity with Business Intelligence tools and platforms like Tableau, Pentaho, Jaspersoft, Cognos, Business Objects, and Microstrategy a plus, Experience in working in an Agile/SCRUM model, Translation of complex functional and technical requirements into detailed architecture and design, Reviewing code of others and providing feedback to continually raise the bar of engineering excellence on the team, Diving deep into open source technologies like Hadoop, Hive, Pig, Hbase, and Spark to fix bugs and performance bottlenecks, Submitting patches and improvements to open source technologies, Bachelor’s degree or equivalent experience. Ab Initio, Talend and JBO (Java Batch Orchestration)- ETL mapping and transformations. Warehouse Designer, Mapplet Designer, Transformation Developer, Repository Manager and Workflow Manager, Informatica Client Tools - Source Analyzer, Jawaharlal Nehru Technological University. Cassandra), Messaging Systems (e.g. Apply to Data Engineer, Machine Learning Engineer, Senior Developer and more! This is full time permanent role. ), Thorough knowledge and experience with dynamic programming languages such as Python or Ruby, Four years Enterprise Java experience developing server-side applications, Expertise in writing complex ANSI SQL queries with Oracle, MySql, Postgres databases, Experience with Hadoop - lambda architecture, streaming data ingestion, Apache Storm, YARN, SPARK, HIVE, Three years of coding experience in an Agile/Scrum environment, Three years systems development experience, 7 years OR 5 years experience in information technology or related field within the past 7 years, 5 years of development experience in Java, 5 years of development experience in business intelligence tools, 5 years of development experience in SQL technology, 1 year experience leading a technical team, Build and support scalable and durable data solutions that can enable self-service advanced analytics atHomeAway using both traditional (SQL server) and modern DW technologies (Hadoop,Spark, Cloud, NoSQL etc.) Skills. Own the BI technology stack; partnering with EDO to ensure the technologies and platforms Personal Lines relies on are available, stable, and delivering the necessary business value, Liaison to enterprise technical partners in all matters concerning data management, data quality, and platform/servers that would impact Personal Lines, Build and foster relationships with Personal Lines’s technical partners, Contribute to or act as the Personal Lines Data Steward, monitoring data quality, evaluating the completeness and strategic soundness from a business perspective of any requested warehouse enhancements, Subject matter expert in at least 2, preferably 3 of the following: Tableau(Desktop and Server), SAS, SQL, R, data warehouse concepts and architecture, agile software development, performance testing and tuning, Takes on the role of subject matter expert for Personal Lines data and projects, Technical knowledge: 3- 5years experience with various tools used for data exploration and business intelligence (e.g. And recruiters are usually the first ones to tick these boxes on your resume. AWS, Microsoft Azure, etc. Autosys - Scheduling Informatica and SSIS jobs. Apply on company website. 7,365 Senior Big Data Engineer jobs available on Indeed.com. Teradata - Slowly Changing Dimensions, Complex BTEQs, Fast Export, Fast Load, TPT and Multiload jobs. Tuned existing SQL Server Stored Procedure and increased the performance for generating the lineage of a given application from source to target and target to source. Cassandra, HBase), Experience running and administering applications on Amazon Web Services, Experience working with Amazon Web Services (AWS) and cloud management tools, Experience working in an agile environment (Scrum, Kanban, etc. Informatica PowerCenter - ETL mapping and transformations. Senior Big Data Engineer Resume Example Resume Score: 80%. Big Data Engineer. Senior Big Data Engineer ADLIB London, England, United Kingdom 3 weeks ago Be among the first 25 applicants. or M.S. A collaborative engineering professional with substantial experience designing and executing solutions for complex business problems involving large scale data warehousing, real-time analytics and reporting solutions. design and code reviews) and demonstrate software to all stakeholders, Significant experience developing with MS SQL Server, including logical/physical design, stored procedures, functions, triggers and performance tuning, Experience with reporting and BI tools (e.g., SSRS, Crystal, COGNOS, Business Objects, Jaspersoft), Ability to work independently and flexibility to multi-task and adapt to changing business needs, Enthusiastic team player who is delivery-oriented, takes responsibility for the team’s success, and strives to continually learn and improve, Experience in the banking industry, especially in risk management, 7-10 yeas of Technical Business experience – ETL experience, 4-7 years of solid Hadoop experience – Sqoop, Pig, Hive…, Technical understanding of Teradata, SQL, Data Stage, Hadoop, Unix Scripting, Technical experience with big data visualization applications, To be able to clearly articulate pros and cons of various technologies and platform, To be able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them, Big Data Specialist Willingness to learn new data movement concepts, Build scalable, repeatable solutions for data ingestion, Be able to document use cases, solutions and recommendations, Be able to explain the work in plain language, To be able to help program and project managers in the design, planning and governance of implementing projects, To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution, To be able to work creatively and analytically in a problem-solving environment, To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines, To be able to work in a fast-paced agile development environment, Implement data crunching processes while taking into account performance, scale, availability, accuracy, monitoring and more, At least 3 years of industry experience in similar positions, Experience with Java/Scala and the surrounding ecosystem (Gradle/Maven etc. Process data from heterogeneous databases. Strong knowledge of real time streaming frameworks and patterns. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. Kafka), and Resource Management Systems (e.g. ), Stream processing (Storm, Spark Streaming, etc. SQL Server & Visual Studio - Stored Procedures, SSIS packages, Business Intelligence. Senior data engineers earn an average salary of $172,603 per year, with a reported salary range of $152,000 to $194,000. Critical Care Nurse (er) Quality Assurance Technologist Social & Human Service Assistant Architectural Designer Iii Dental Services Manager Mainframe Engineer Clinical Assistant V Operations Engineering Manager Scribe Design Engineer Associate Equity Analyst ), Strong knowledge of distributed systems and asynchronous architectures, Prior experience building visualization and UI, Work with the platform team to identify, evaluate and implement NoSQL storage solutions, Design strategies for storing structured and unstructured data, Assist in architecting and deliver software components, Author and maintain technical specifications, Bachelor's or Master's Degree in Computer Science, Software Engineering or related field, 3+ Experience implementing solutions built on NoSQL database technologies systems (HBase, Hadoop, DynamoDB , MongoDB, etc…), 5+ years professional experience designing and developing Java applications, 3+ years of experience developing and working on big data platforms leveraging services like Dynamo, Redshift, Lambda , Kinesis and EMR, Deep understanding of one (or more) of the following languages: Scala, Python and Java, Experience implementing and using RESTful APIs, Experience with source control, build systems, and testing tools, Excellent communication and collaboration skills, Experience with a big data database management system (e.g. *Knowledge in various ETL and Data Integration development tools like Ab Initio, Informatica, Talend, SSIS and Data Warehousing using Teradata & SQL Server Acts as strategic leader with ability to influence, collaborate and deploy innovative technology solutions. Senior data engineer working to advance data-driven cultures by integrating disparate data sources and empowering end users to uncover key insights that tell a bigger story. Looking for cover letter ideas? Worked extensively on different transformations like source qualifier, expressions, filter, aggregator, router, update strategy, lookup, normalizer, stored procedures, mapping variables and sequence generator. Save your big data engineer resume in PDF format so that your 2020 resume format doesn’t look like a Picasso on the recruiter’s 2010 computer. Responsible for identifying technical trend opportunities for enterprise data and performance improvement; and in converting those opportunities into valued assets that exceed business goals and produce clear ROI. Tivoli Workload Scheduler - Scheduling, monitoring batch jobs. 04/2017 - PRESENT San Francisco, CA. Big Data - Cloudera HDFS, Hive, Sqoop and Oozie. ), BA/BS in Computer Science, Management Information Systems or equivalent degree, Programming skills & experience in Java, C++, R, Perl, or Python, Ability to handle multiple projects and multiple deliverables, Work with company confidential information, Teradata database and Aster/Hadoop experience, MS degree in Computer Science, Management Information Systems or equivalent degree, A seasoned and passionate engineer who enjoys challenging and interesting problems around big data volume, scale, performance, integration, and many others, A seasoned professional with 5+ years of relevant experience who is excited to apply their current skills and to grow their knowledge base, Successful track record of engineering Big Data solutions with technologies like HBase, Hadoop, Hive, Oozie, MongoDB, Familiar with Agile methodology, test-driven development, source control management, and automated testing, Desire to work in collaborative and fast paced agile environment, Experience with major Hadoop distributions such as Cloudera (preferred), HortonWorks, MapR, BigInsights, or Amazon EMR is essential, Experience developing within the Hadoop platform including Java, MapReduce, Hive, Spark, Python, Experience with scheduling technologies such as Azkaban, Oozie, or Control-M, Experience with Netezza, Oracle, SQL Server, Experience with Hadoop ecosystem technologies like Flume, Sqoop, NiFi, Spark Streaming, Knowledge of Java SE, Java EE, JMS, XML, XSL, Web Services and other application integration-related technologies, Experience with NoSQL databases such as HBase, Cassandra, Redis or MongoDB, Experience with Pig and Pig UDF development, Familiarity with Business Analytics tools and platforms such as Tableau, Jaspersoft, Business Objects, MicroStrategy, Platfora, a plus, Experience in working in an Agile/Kanban model, Participate as a development team member in the agile (Scrum) process throughout the SDLC, Participate in project planning sessions, working closely with business analysts and team members to analyze requirements and provide design recommendations for complex systems, Design and develop new software or make modifications to existing complex software applications using disciplined processes, adhering to industry standards and best practices, Drive selection, integration and deployment of big data tools/frameworks to provide required capabilities, Take part in reviews of work (e.g. Objective : Experienced, result-oriented, resourceful and problem solving Data engineer with leadership skills.Adapt and met challenges of tight release dates. Pro Tip: If you’re changing careers from a related field like software engineering, a hybrid resume can help you show off your data skills front and center. in an agile manner, Support HomeAway’s product and business team’s specific data and reporting needs on a global scale, Close partnership with internal partners from Engineering, product, and business (Sales, Customer Experience, Marketing etc. Lead Software Engineer Resume Samples Qwikresume . Lead Software Engineer Resume Samples Qwikresume . Lead report development planning and execution, including team meetings, team communication, task assignment / optimization, and escalation of resource gaps. *Strong knowledge on Big Data/Hadoop components like HDFS, MapReduce, YARN, Sqoop, Hive, Impala and Oozie, Architect, automation, Big Data, Business Intelligence, Data Integration, databases, Data Warehousing, decision making, Dimensions, ETL, Fast, functional, graphs, Informatica, Java, team development, Linux, meetings, enterprise, optimization, Developer, reporting, Requirement, router, Scheduling, Scrum, Shell Scripting, specification, SQL, SQL Server, strategy, strategic, Supply Chain, Teradata, Tivoli, Visual Studio, Workflow. *Proactive and hardworking with the ability to meet tight schedules Strong preference for Computer Science, 6+ year's overall development experience and 3+ year's enterprise software experience, Ability to work directly with scientists and business users to plan projects, track timelines and turn the ambiguous into specific goals and targets, Experience with large distributed services is a plus as is building/operating highly available systems, Experience leading the architecture of an open source messaging product is preferred, Owns one or more key components of the infrastructure and works to continually improve it, identifying gaps and improving the platform’s quality, robustness, maintainability, and speed, Interacts with engineering teams across WB and ensuresthat solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability, Works directly with business analysts and data scientists to understand and support their usecases, 3 years of OOD experience working on backend systems, You have experience architecting highly scalable, highly concurrent and low latency systems, You have experience with Big Data and NoSQL technologies like Hadoop, HBase, Cassandra, Hypertable, Storm, Flume, Pig and Hive, You can adapt cutting edge technologies to enterprise requirements including high availability and disaster recovery, Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem, Build streaming and real-time data analytic pipelines, Implement and configure big data technologies as well as tune processes for performance at scale, Mentor and grow a team of big data engineers, 3+ years of experience building large scale big data applications, Experience with big data interactive query technologies like Spark, Impala, or Hive, Experience building Continuous Integration (CI)/Continuous Deployment(CD) systems, A solid track record of architecting and designing large-scale high-throughput data solutions, Expert knowledge about enterprise search engines based on Apache Lucence (Elasticsearch, Solr), Experience in a data standardization, data quality and data governance process implementation, Experience with open source software and programming languages (Scala), Proven ability to research, assess and recommend architecture, technologies and vendors, Ability to lead by example and mentor other developers, Extensive years in data integration implementation/design, Extensive years of experience in any Java/Scala/Python, Extensive years in Hadoop data integration tools (Sqoop, Flume, Spark), Extensive years in Lucene based enterprise search tools (Elasticsearch, Solr), BS in Engineering or Computer Science or equivalent, 4 or more years of experience Java or Scala, 2 or more years of experience building large scale distributed system, 1 or more years of experience in big data technologies (mainly Spark), 1 or more years of experience in RESTFul interfaces, 2 or more years of experience with agile software development practice, 2 or more years of experience in leading other SW developers Additional Prefer, Experience with deploying large scale application in the cloud (AWS, GCP, Azure or other), 2 or more years of experience with SPRING framework - Excellent communication skills in English, Lead Application Big Data Platform containing application generated data, Key partner with Business Analytics team on advance analytics activities. All software engineer, big data resume samples have been written by expert recruiters. Senior Big Data Engineer Resume Sample Mintresume . The big data engineer will work closely with the business users, project managers, technical teams like data centre engineers, network infrastructure teams and source system data owners to commission the platform and automate data acquisition and … Senior Big Data Engineer Resume Sample Mintresume . Consultant - Us ; Project Manager - Us ; Qa Analyst ; Technical Test Lead - Us ; Architect ; Refine Search All. Such as experience with Kinesis, Kafka or equivalent solution. All rights reserved. Have a passion for Big Data technologies and a flexible, creative approach to problem solving. London, England, United Kingdom. The platform manages data ingestion, warehousing, and governance, and enables developers to quickly create complex queries. Skills. Proficiency on Apache software foundation big data projects like Hadoop, Hive, Hbase, etc.. Ability to write applications using common developer scripting languages such as Shell, Perl, Python, Java, JavaScript etc.. Big Data Engineer Resume. Big Data Engineer Resume Sample Data Engineer Resume Edureka . Help define team development best practices and process improvements. Bachelor's degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field, Strong knowledge of Linux system monitoring and analysis. Good understanding of machine learning frameworks such as Spark MLib,Apache Mahout or equivalent. Ab Initio - ETL mapping and complex transformations. Engineering Resume Example And Writing Tips . Freshness No Data. Share and Inspire Resume Template Ideas from a Variety of Sources. Menu ... Senior Software Engineer, Big Data. See Big Data Engineer resume experience samples and build yours today. Mesos), You are highly skilled at developing and debugging in at least one of these programming languages, C/C++, Java, Python or Go, Experience with agile development methodology and test-driven development, Willing to learn new technologies and take ownership. Production deployment and warranty support. Lead offshore team and coordinated with onsite team The Data Engineer is responsible for the maintenance, improvement, cleaning, and manipulation of data in the business’s operational and analytics databases. See our sample Senior Engineer … 3,700 Big Data Engineer Spark Experience jobs available on Indeed.com. Find and customize career-winning Software Engineer, Big Data resume samples and accelerate your job search. Conducted unit testing, system testing, performance testing and user acceptance testing. Support the reporting requirements from business customers across all the Supply Chain initiatives. Selected as a member of the review board of Enterprise Data Warehouse and Data Architecture team to set and review the enterprise coding standards. As a senior Big Data engineer at Lokad, you will help us scale up to the largest supply chain challenges. *Strong knowledge of principles in Data Warehousing using fact & dimension tables, start & snowflake schema modeling ... You can save your resume and apply to jobs in minutes on LinkedIn. Participated in daily Scrum, Spring Planning and Retrospective meetings. Requirement analysis and mapping document creation. *Worked extensively with Dimensional Modeling, Data Migration, Data Cleansing and ETL processes for Warehouses *Experience in scheduling sequence and parallel jobs using Unix scripts, scheduling tools like Tivoli Workload Scheduler and CA7 Autosys Equivalent experience can be substituted for educational experience, Must hold an active DoD Secret Security clearance, Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3), Executes complex and occasionally highly complex functional work tracks for the team.

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