Worked extensively on different transformations like source qualifier, expressions, filter, aggregator, router, update strategy, lookup, normalizer, stored procedures, mapping variables and sequence generator. Toad, SQL, Oracle, SAS, R, Business Objects, MSBI, Tableau, Qlik, MicroStrategy, Alteryx), Good understanding and experience with data modeling, Advanced knowledge of SQL and data warehouse design and usage, Experience in writing shell scripts and job automation thru Autosys scheduler, Highly analytical person equally comfortable coding and interacting with business partners, Ability to work effectively in a team environment and independently, Strong written and verbal communication to interact effectively with both technical and non-technical users at all levels of the organization, Must be able to work on multiple concurrent projects, Entrepreneurial spirit - self-motivated, strong sense of ownership/accountability, and results oriented with the ability to manage time and schedules effectively, Willingness to learn new technologies/methodologies and apply them, Ability to understand and follow guidelines and standards, Customer focus: strives to give customers the best service and takes the initiative to add value, Knowledge of Personal Lines data landscape, Knowledge of server platforms(UNIX, LINUX, Windows) a plus, BS in Computer Science, Engineering, or related technical discipline – or equivalent combination of training and experience, 6+ years core Java experience: building business logic layers and back-end systems for high-volume pipelines, Experience with Spark Streaming and Scala, Current experience in Spark, Hadoop, MapReduce and HDFS, Cassandra/HBase, Understanding of data flows, data architecture, ETL and processing of structured and unstructured data, Experience with high-speed messaging frameworks and streaming (Kafka, Akka, reactive), Experience with DevOps tools (GitHub, Travis CI, JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development), Minimum of 5+ years of IT industry experience in application development and technology evaluation, Minimum of 2+ years of experience in developing and/or supporting NoSQL solutions, Proficiency in UNIX / Linux operating systems, Knowledge on MongoDB, DynamoDB (AWS) and/or MySQL is preferred. Big Data Engineer. *Experience in scheduling sequence and parallel jobs using Unix scripts, scheduling tools like Tivoli Workload Scheduler and CA7 Autosys Kafka), and Resource Management Systems (e.g. *Knowledge in various ETL and Data Integration development tools like Ab Initio, Informatica, Talend, SSIS and Data Warehousing using Teradata & SQL Server Have a passion for Big Data technologies and a flexible, creative approach to problem solving. 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. ), Stream processing (Storm, Spark Streaming, etc. - Choose from 10 Leading Templates. *Extensive experience in Unit Testing, Functional Testing, System Testing, Integration Testing, Regressions Testing, User Acceptance Testing (UAT) and Performance Testing Apply Now Go Back. Sign in Join now. Developed data mappings between source systems and warehouse components using Mapping Designer. This is full time permanent role. Informatica PowerCenter - ETL mapping and transformations. As a Senior Big Data Engineer on the GEICO IT squad, you’ll thrive in a fast-paced innovative culture that turns data into information and uses that information to drive action…Basic Qualifications: o At least 2 years as a Big Data Engineer/Developer on the Hadoop Ecosystem, with experience in data profiling and transformations o… But the Director of Data Engineering at … Involved in User Acceptance Testing and provided the technical guidance for business users It’s actually very simple. Data Engineer Resume Samples and examples of curated bullet points for your resume to help you get an interview. or M.S. SQL Server & Visual Studio - Stored Procedures, SSIS packages, Business Intelligence. Summary. Senior Big Data Engineer average salary is $130,965, median salary is $135,000 with a salary range from $72,000 to $250,000. *Experience in troubleshooting of jobs and addressing production issues like data issues, environment issues, performance tuning and enhancements Evaluate and ability to influence key technologies include: 1.Data LakeArchitecture, 2.Integration Services, 3.Application Database Services. London, England, United Kingdom. Acts as strategic leader with ability to influence, collaborate and deploy innovative technology solutions. Apply on company website. ), 8+ years of EDW development experience including 2+ years in Big data space (i.e. 100% unique resume with our Big Data Engineer resume example and guide for 2020. 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. Picture this for a moment: everyone out there is writing their resume around the tools and technologies they use. Qualifications such as engineering experience, leadership, supervisory skills, problem solving orientation and computer proficiency are often seen on Senior Engineer resume samples. Teradata - Slowly Changing Dimensions, Complex BTEQs, Fast Export, Fast Load, TPT and Multiload jobs. Senior Big Data Engineer Resume Sample Mintresume . ), Design, develop, and operate highly-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms with AWS technologies, Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation, Keep up to date with big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture, Bachelor’s degree in Computer Science, Electrical Engineering, Information Systems, Mathematics, or a related field, Ability to work and communicate effectively with developers and Business users, 6+ years of experience in designing and developing analytical systems, 3+ years of experience in designing and developing data processing pipelines using distributed computing technologies such as Hive, Spark, and Pig, Experience with AWS technologies such as EMR, Dynamo, RDS, Redshift, S3, etc, Experience with big data technologies such as Hadoop, Hive, Hbase, Pig, Spark, etc, Source, extract, transform & load datasets into Atlas’ infrastructure, Build scalable and flexible data model that can work across our datasets. Google Cloud Platform (Google Cloud Storage, Big Query, Big Table, Cloud SQL, Pub/Sub) Lead SQL Data Integration and Hadoop Developer Roles and Responsibilities. Big Data Engineer Resume Sample Data Engineer Resume Edureka . Job Summary As a Big Data Engineer, you will be a member of a small, agile team of data engineers responsible for developing an innovative big data platform as a service for enterprises that need to manage mission critical data and diverse application stakeholders at scale. *Proactive and hardworking with the ability to meet tight schedules I hope this Big Data Engineer Resume blog has helped you in figuring out how to build an attractive & effective resume. *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. building data pipelines in Hadoop), working with Petabytes of data, Proven technical lead using technologies such as SQL server (or any relational DB), Hadoop, Cassandra, Sqoop, Oozie, Scala, Java, Python, Spark, Hive and Kafka (KStream and Kafka Connect), Experience with of all aspects of data systems (both Big data and traditional) including database design, ETL, aggregation strategy, performance optimization, Capable of working closely with business and product teams to ensure data solutions are aligned with business initiatives and are of high quality, A harmonious, informal, international and playful work environment, Work with cool modern technologies, processes and consumer facing products, Access to tools and resources to do your job, Ability to join multiple internal interest groups in eBay in trending topics like Data Science, Mobile Development, Customer Experience and more, Continuous Deployment of product changes to get rapid feedback about your work, Being part of the eBay family, a company with a history and great potential, Translate data science models and algorithms into cleanly coded data products, Use your ETL and Big Data infrastructure knowledge to improve our data ingestion systems, Lead the design, implementation, and continuous delivery of an insights data pipeline supporting the development and operation of DynamoDB service, Actively participate in hiring talented people and assist in the career development of others both on and outside your team, mentoring individuals and helping other managers guide the career growth of their team members, Demonstrate high levels of creativity and right judgments, most of the time, Understand business context to decisions made within and across groups, Maintain a current understanding of industry and technology trends, Contribute to Amazon's Intellectual Property through patents and/or external publications, Bachelor's Degree or higher in Computer Sciences or similar, 3+ years of hands-on experience as a big data engineer, Experience with Hadoop, HBase, Spark, Kafka or similar technologies (strong plus), Hands-on experience with DevOps tools, automating engineering and operational tasks, Highly knowledgeable and experienced with scripting languages like Puppet, Python, Perl, etc, 3+ years of working experience in BigData technologies (Hadoop, Solr, Kafka and Flume), Big-data operations experience, especially in Kafka and/or Solr, Solr and Search domain experience is highly preferred, Experience with source control management such as Git and/or SVN, Development experience in object oriented programming languages such as Java /Scala is preferred, Expertise in troubleshooting complex OS, database, file system, network configuration, and application & web server issues, Lead Application Big Data Platform containing application generated data, Assesses readiness of technical solutions and hardware including systems, tools, technologies, and processes, Recommends, and enforces data and technical solutions, standards, and governance for the program/project and other technical measures, Acts as strategic leader with ability to influence, collaborate and deploy innovative technology solutions, Evaluate and ability to influence key technologies include: Data Lake Architecture, Integration Services, and Application Database Services, Managing projects including planning, design, build, test, and deployment, Responsible for identifying technical trend opportunities, 5+ years - Database Design (MPP and Transactional) such as SQL Server, Oracle, DB2, 2+ years of Enterprise Data Architecture, Development, and Data management experience, Knowledge of MDM, Big Data, Reference Data, Data Integration, Metadata, and Data Standards, Excellent knowledge of Hadoop (Cloudera), EMR, DynamoDB (Cassandra), or similar solution, Experience in Big Data (Hadoop stack preferred), Experience with Data Architecture: application, reporting frameworks, modeling, processing, and availability and scalability, Understanding of advanced architectural principles of Enterprise Data Management including master data management, modeling and architectural principles applied to Application Databases, Expert knowledge of Hadoop 1 and 2 architectures and administration and support, Expert knowledge in Map-Reduce, Cascading, HBase, HDFS, Pig, Hive, and Spark, Good understanding of machine learning frameworks such as Spark MLib, Apache Mahout or equivalent, Strong core Java or Scala development experience and basic coding/scripting ability in Python, Perl, and/or Ruby, Extensive Database experience (MySQL, SQL Server, and Oracle), Exposure to Virtualization (VMware, Xen, and Hypervisor), The Database team is looking for a creative individual with following skill set, Minimum of 5-8 years experience in a professional software development team, Experience with message brokering systems, especially Kafka, Experience with NoSQL Technologies like MongoDB, CouchBase and Elasticsearch, Aptitude to independently learn new technologies, Strong process and data investigation skills across a variety of platforms and logging environments, Skill full at managing project priorities, dependencies and deliverables, Strong working knowledge with distributed systems preferred, Strong Java Expertise - including but not limited to: Core Java, Multithreading, Networking (including non-blocking IO), JDBC, RMI, Knowledge of JVM Internals, GarbageCollection and Concurrency, Experience writing REST based services using Netty or similar frameworks, Experience with JavaScript UI frameworks (AngularJS, ReactJS, etc.) The platform manages data ingestion, warehousing, and governance, and enables developers to quickly create complex queries. 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2020 senior big data engineer resume