Data Systems Engineer Resume Sample
Marguerite Will
700 Birdie Ranch,
Los Angeles,
CA
+1 (555) 574 3270
Work Experience
Manager, Data Systems Engineer
05/2016
-
PRESENT
Boston, MA
- Analyze the processing, networking and storage systems and formulate resolution to factors affecting performance, capacity and/or budget
- Collaborate with customer project management on requirements and schedules for development and delivery
- Research and identify the appropriate technology and approach for new project proposals, and assist in preparing cost estimates for system deployment and operations
- Monitor overall health and maintenance status of project computing infrastructure, and assist in planning upgrades and additions
- Collaborate closely with multiple teams that share technologies and development resources with IRSA
- Assess the feasibility of incorporating cloud and other distributed computing technologies into development and operations plans, consistent with needs
- Design, develop and deploy a database schema capableof meeting the needs of the organization with high reliability, anticipatingthe organization’s growth over the next 5 years
- Ensure data systems’ high reliability throughprediction, prevention and protection
Data Systems Engineer
04/2012
-
12/2015
Philadelphia, PA
- Experience with software development with one or more languages, including Java, Python, and JavaScript
- Experience with Linux systems administration, including CentOS or RHEL in a DoD environment
- Experience with high-level scripting languages, including Python, Bash, and common Linux utilities
- Experience with maintaining and troubleshooting infrastructure operational issues, including IP, HTTP, load balancing, firewalls, and hardware and software patches and upgrades
- Experience with maintaining and applying patches as they are required by OS for Windows and Linux
- Evaluate new software requests and assess users’ software needs
- Suggest new areas of investigation to enable NERSC’s users to efficiently use Cori and exascale-class future systems
- Serve as a principal collaborator on major projects of strategic importance to NERSC (e.g. system acquisitions, centers of excellence, significant initiatives)
- Participate in setting direction for future NERSC user services activities
Data Systems Engineer, Entry Level
01/2006
-
10/2011
San Francisco, CA
- Be fair and respectful to others
- Design, develop and deploy a database schema capable of meeting the needs of the organization with high reliability, anticipating the organization’s growth over the next 5 years
- Ensure data systems’ high reliability through prediction, prevention and protection
- Develop data analytic solutions to analyze and link Micron’s multiple data-sources in the strategic data platforms
- Participation in validation and qualification process with direct contact with OCCAR and nations air forces.
- Experience in Information Systems requirements capture / requirements statement and support to systems / SW engineering in developing Information Systems solutions
- Support Black Box Government Solutions in the development, preparation, and presentation of technical proposals, configurations, diagrams, bill of materials and quotes
- Evaluate solutions in a multiple vendor environment to determine best overall value
Education
Lawrence University
2001 - 2006
Engineer's Degree in Computer Science
Professional Skills
- Strong MySQL experience, including management and performance tuning
- Experience writing proposals and experience in business development
- Experience eliciting, interpreting, and documenting user requirements in the context of data engineering
- Manage own learning and contribute to technical skill building of the team
- Experience delivering signals design and/or specifications for P3 / AFP / Design-Build (includes preparing PSOS and RCD documents)
- In addition to office-based design, also experience with testing/commissioning, construction, maintenance, and/or operations
- Experience working in R and/or ability to quickly learn new programming languages
How to write Data Systems Engineer Resume
Data Systems Engineer role is responsible for design, software, training, development, maintenance, security, integration, database, recruiting, auditing.
To write great resume for data systems engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Systems Engineer Resume
The section contact information is important in your data systems engineer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Data Systems Engineer Resume
The section work experience is an essential part of your data systems engineer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data systems engineer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data systems engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Systems Engineer resume experience can include:
- Experience extracting data from web services and working with JSON and XML output
- Is a fully contributing team member, focusing primarily upon implementation and relied upon for solid database structure and administration
- Experience with Linux systems administration, including CentOS or RHEL in a DoD environment
- Experience with maintaining and ing patches as they are required by OS for Windows and Linux
- Knowledge and experience of working with large transactional datasets
- Experience with scripting languages or analytical tools to develop solutions to technical problems (e.g. JMP, SAS)
Education on a Data Systems Engineer Resume
Make sure to make education a priority on your data systems engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data systems engineer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Data Systems Engineer Resume
When listing skills on your data systems engineer resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical data systems engineer skills:
- Effectively and persuasively communicate complex concepts and positions, orally and in writing, both internally and externally
- Well-developed oral and written communication skills; ability to convey complex technical information accurately
- Network effectively with technical peer group
- Experience administering mission critical SQL databases, including HA and replication
- Solid knowledge in performance tuning and troubleshooting
- Experience in managing and administering MongoDB
List of Typical Experience For a Data Systems Engineer Resume
1
Experience For Test Data Systems Engineer Resume
- Primary role is to work with an existing team of 1-15 rail signals designers and technicians in various locations and a like number of simulations staff worldwide
- Understanding of software engineering principles and skills working on Unix/Linux operating systems, version control and G Suite software
- Programming in any object-oriented programming language
- Write custom ETL programming from complex data processing and transformations using Python
- Design complex ETL scripts for extracting data through XML/HTML files, RDBMS and flat file sources
- Monitor design team costs relative to established budgets
2
Experience For UC Data Systems Engineer Resume
- Attend and lead staff and client meetings
- Coach staff on their careers and mentor EIT’s and other high-potential staff
- Act as the designated reviewer/specialist on complex rail projects
- Comply with, and implement, corporate safety, values and initiatives
- Interface with engineers and data scientists to understand data needs
- Define and manage all data sets in allocated areas of ownership
- Work with production support teams to triage data related issues and drive to resolution
- Participates in the development of analytical processes to be used by multiple teams/applications
- Design and implement scalable and high performance data repositories
3
Experience For Big Data Systems Engineer Resume
- Setup and maintain scheduled data loads to ensure up-to-date information and data consistency
- Produce various technical documents such as ER diagrams, table schemas, data lineage, API docs, etc
- Accountable for the design, layout, implementation and maintenance of one or more complex databases
- Ensures sound database definitions, structures and documentation
- Develops and implements procedures for access methods, access time and device allocation
- Monitors utilization and addresses inappropriate data usage
4
Experience For Manufacturing Data Systems Engineer Resume
- Establishes and maintains security and protection controls
- Works independently to complete assigned projects; requires limited supervision on most work
- Strong communications skill required for providing detailed documentation of systems and configurations as well as providing training to other staff members on maintenance and troubleshooting
- Be part of a team that enables scientific discovery on the world’s fastest supercomputers
- Collaborate with world class scientists from experimental facilities like the Stanford Linear Accelerator (SLAC), the Large Hadron Collider, and the DOE Joint Genome Institute
- Work on peta/exabyte scale data problems
- Design systems that can process petabyte size data sets efficiently
- Technical competence and at least 10 years’ practical experience in instrumentation or controls engineering in support of major test facilities or heavy industry
5
Experience For Data Systems Engineer, Entry Level Resume
- Determine and answer questions about network performance
- Communicate in Spanish and/or French languages or other languages
- P.Eng licensed in the Province of Ontario, Alberta and other jurisdictions
- Strong interpersonal skills with ability to collaborate effectively on diverse teams; exhibiting a spirit of cooperation, teamwork, resource sharing, and mutual respect
- Contribute professionally and build a professional reputation for technical expertise
6
Experience For Data Systems Engineer Structural Strength Test Resume
- Work under the technical guidance of senior staff; contribute to technical decisions and develop the technical approach for assigned work
- Strong technical communication skills, and ability to design and deliver solutions for a broad range of user audiences, with varying technical complexity as well as maintenance requirements
- Model data to be accessible via web API
- Linux (beginner to intermediate): Ability to do most basic command line commands - top, mkdir, chmod, chown, yum, service ..
- Designs, develops, documents, tests, and debugs new and existing software systems, hardware/software interfaces, and applications according to industry-established software engineering principles and practices
- Works collaboratively within a team to execute on the full system development lifecycle including analyzing user needs to determine technical requirements. Contributes to multiple projects simultaneously in a dynamic environment with high expectations for quality
- Develops technical specifications based on conceptual design and requirements. Authors well-crafted and documented source code, automates manual tasks, and consults with the end user to prototype, configure, refine, test, and debug programs or systems to meet needs
7
Experience For Maintenance Data Systems Engineer Resume
- Identifies and evaluates new technologies or methods for implementation and continuous improvement. Contributes to the technical content of proposals and technical products such as journal and conference publications and technical presentations
- Interest, curiosity, and technical expertise to develop and deploy professional solutions in distributed, high-performance computing environments on problems specific to the national security community
- Efficiently program in multiple programming languages such as Python, Java, .NET, C, and C++. Technical knowledge in basic server setup and management across multiple environments – desktop, cluster, cloud, etc
- A “maker” and “white-hat hacker” mentality - a technology generalist who thrives on learning new technologies and applies them in novel ways
- Support databases 24/7
- Understand and write complex queries
- Create and Manage databases in multiple environments
8
Experience For Machine Learning / Data Systems Engineer Resume
- Interface between creative, technical and senior level professionals
- High energy level and physical stamina for deadline driven projects
- High level competency in Backup & Recovery procedures
- Team player and calm under pressure
- Support test operations for data systems
- High availability environments
- Review test requirements
List of Typical Skills For a Data Systems Engineer Resume
1
Skills For Test Data Systems Engineer Resume
- Theoretical analysis of algorithms and methods for blockchain interaction, sidechain implementation, and cross transaction validation in streaming data systems
- Strong Python & shell scripting abilities
- Experience with Statistics, Data Analysis, and/or Quantitative Modeling
- Develop vendor specific training plans and obtain and validate quotes
- Experience in software development with one or more languages, including Java, Python, and JavaScript
- Experience with RTC simulation program, LRT and/or subway signaling
- Multi-disciplinary transit/rail “Systems” experience including traction-power, OCS, communications, power supply / electrical, SCADA, fare collection, etc
- Experience in Systems Integration, Configuration Management, Requirements Engineering, Reliability / Accessibility / Maintenance / Safety (RAMS), etc
2
Skills For UC Data Systems Engineer Resume
- Experience with other scripting languages like Shell and Javascript
- Strong Interest in Machine Learning
- Experience programming with Python
- Experience with querying languages for both SQL and NoSQL databases
- Maintains data dictionaries and ensures effective integration of databases into existing or new systems
- Proven ability to quickly learn new technologies, systems, and languages
- Experience with AWS, especially RDS and other Data Tools
3
Skills For Big Data Systems Engineer Resume
- Experience with PHP, Ruby, Perl
- Experience with other SQL and NoSQL Database tools & practices
- Obtain sub-contractor labor quotes and validate
- Select test instrumentation sensors and provide specifications for installation, validation, and usage approaches
- Understanding of CN (GI’s & SCP’s) and CP (RP’s)
- Grow the team including participating in recruiting and interviewing candidates
- To implement designed solutions and provide requested enhancements to existing data integration and data warehousing platforms
4
Skills For Manufacturing Data Systems Engineer Resume
- Inspire and cultivate the engineering mindset and systems thinking
- Knowledge and understanding of relational databases technology (working knowledge of Oracle or SQL server preferable)
- Implements ongoing quality control and auditing procedures to ensure accuracy of database
- Accountable for varying flavors of databases of varying flavors on a variety of OS platforms
- Design of Internet-of-Things (IoT) messaging and control protocols for electrical grid applications
- Passion for DevOps culture & principles, including a desire to understand & work with teams from across the organization
- Develop project plans using Microsoft Project
- Provide product write-ups and assist in writing responses to RFPs, RFIs etc
- Develop detailed system designs, in collaboration with the IPAC Systems Engineering Team, that meet strategic and functional needs of the project
5
Skills For Data Systems Engineer, Entry Level Resume
- Support data integration solutions, ensuring that relevant business SLAs are met
- Lead Big Data engineering team with specialization on data ingestion (from 100+ source systems in batch and near real-time), egestion and governance
- Perform R&D of new and emerging technologies
- Licenses to practice in multiple jurisdictions, including primarily BC, Alberta and Ontario
- Masters or PhD in rail signaling or similar (e.g. systems, integration, safety, automation, etc.)
- Flexibility and adaptability to rapidly changing environment
- Support local managers in performing annual staff performance reviews for EIT’s and other signals staff
6
Skills For Data Systems Engineer Structural Strength Test Resume
- Partner with data analytics and engineering teams to solve problems and identify trends and opportunities
- Support existing data processes integrated with production equipment
- Knowledge of PLC programming and integration with database technology
- Uses automation to build extensive end-to-end system tests and creates reusable test scripts for testing
- Extract, transform, and load data to/from various data sources including relational databases, NoSQL databases, web services, and flat files
- Develop, optimize, and manage code used in ETL and data mining
- Data acquisition and integration within a distributed computation environment (e.g., Amazon Web Services, Microsoft Azure, OpenStack, Hadoop, Spark)
7
Skills For Maintenance Data Systems Engineer Resume
- NoSQL databases (e.g., Cassandra, CouchDB, HBase, Hive, MongoDB, Redis)
- Analyze RFPs, RFIs TEPs, quotes documents etc. to understand requirements
- Attend site surveys/site visits as required
- Design data networks and solutions and related components and prepare bills of material in response to customer requirements as defined in RFPs, quotes, etc
- Define the technical support required to maintain proposed network architectures
- Prepare Scopes for Work (SOW) for labor requirements
- Obtain quotes for any associated 3rd party ancillary equipment
- Build and maintain relationships with product vendors (Avaya, Brocade, Cisco, HP, NEC, Tellabs, etc.)
8
Skills For Machine Learning / Data Systems Engineer Resume
- Analyze complex information and make recommendations and selections
- Work with DI Specialists to provide expertise and help shape solutions
- Participate in collaborative software and system design and development of the new NCR Data Lake on Hortonworks HDP and HDF distributions
- Gain deep technical expertise in the data movement patterns, practices and tools
- Play active role in Big Data Communities of Practice
- Put the minimal system needed into production
- Operational experience of data system setup for various sensor types (strain gauges, thermocouples, flow meters, load cells, pressure transducers, LVDT’s)
9
Skills For Cyber Data Systems Engineer Resume
- Author test reports and R&D evaluation reports
- Coordinate with personnel in related tasks to resolve technical issues
- Maintain and update test schedules to coordinate with other support teams
- Review test implementation plans
- Develop procedures for activation and operation of test facility data systems
- Prepare work requests to authorize data acquisition and instrumentation systems assembly, maintenance, and troubleshooting of hardware and software for test support
10
Skills For Engineering Data Systems Engineer Resume
- Demonstrated ability to mentor students and postdoctoral researchers
- Experience with Metrolinx, TTC, CN, CP, VIA Rail, AMT or similar
- Experience with Event-driven Micro Service pipelines
- Experience with Publish/Subscribe Infrastructure like Kafka
- Strong Familiarity with AWS services such as EC2, SNS, SQS, Kinesis
- Experience in high-performance environments
- Experience with varied forms of data architecture (relational databases, nosql, Redshift, Hadoop, S3)
- Experience with data technologies to enable data analytics from a production environment
- Profile and validate sources of data where very little metadata is provided
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