Data Analytics Engineer Resume Sample

4.6
17 votes
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Benedict VonRueden
36912 Waelchi Lights,  San Francisco,  CA
+1 (555) 680 8143

Work Experience


Senior Data Analytics Engineer
12/2017 - PRESENT
Detroit, MI
  • Apply a variety of analytical techniques to solve customer challenges to include data mining, statistical models, predictive analytics, optimization, risk analysis, and data visualization
  • Build and test prototypes in MITRE or USG labs to demonstrate proofs-of-concept for data analysis capabilities and approaches
  • Investigate systems that exhibit intelligence behavior to accomplish tasks that involve capabilities such as perception, learning, navigation, planning, and cooperation
  • Assist in independent review and verification of contractor proposed architectures, methods, and designs
  • Perform hands-on design, development, test and evaluation, and demonstration of advanced prototype software applications
  • Apply state of the art techniques, using multiple programming languages and development environments to drive advances in mission capabilities for customer and internal projects
  • Meet with group to determine current state of data, analytics and systems
  • Develop and present a Data Analysis and Analytics Plan that is specific to current capabilities
  • Assist team in initiation, Implementation and debugging of plan
Data Analytics Engineer
12/2014 - 06/2017
San Francisco, CA
  • Lead, design and conduct system level characterization/verification of complex systems; collect, organize, analyze, and document test results
  • Responsible for project planning, managing resources, the creation of project schedules
  • Lead integration of algorithms, data analysis techniques with software applications and mobile applications
  • Communicate effectively and participate on cross functional development teams with good negotiating skills to direct multidisciplinary teams toward solutions
  • Responsible for utilizing and maintaining the effectiveness of the quality system
  • Works with large volumes of traffic data and user behaviors to build pipelines that enhance raw data
  • Able to break down and communicate highly complex data problems into simple, feasible solutions
Big Data Analytics Engineer, Junior
01/2010 - 10/2014
Boston, MA
  • Work with staff to develop Data Analytics Potential
  • Strong communication skills and the ability to present deep technical findings to a business audienceSearch Jobs US
  • Build and test prototypes in MITRE, government labs, and commercial cloud environments
  • Perform independent reviews of contractor proposed architectures, designs and products
  • Perform hands-on design, development, test and evaluation, and demonstration of advanced prototype software capabilities
  • Apply state of the art techniques, using multiple programming languages and development environments and open source code to drive advances in mission capabilities
  • Provide technical direction/advisor to project teams

Education


Virginia Tech University - Northern Virginia Center
2005 - 2010
Engineer's Degree in Computer Science

Professional Skills


  • Strong analytical and problem-solving skills needed to contextualize and transform data prior to analysis
  • Excellent communication skills, ability to understand business requirements and perform engineering functions independently
  • Good written & verbal communication skills ( ability to effectively work locally and with virtual global team)
  • In-depth knowledge of various RDMS, strong SQL skills
  • Demonstrated problem-solving and pattern recognition skills (. e.g. algorithm development)
  • Strong experience in developing and executing database code reviews and coding standards
  • Strong programing experience in infrastructure development, big-data, data streaming, and data storage

How to write Data Analytics Engineer Resume

Data Analytics Engineer role is responsible for analytical, programming, analysis, engineering, java, sql, reporting, database, compensation, architecture.
To write great resume for data analytics engineer job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Data Analytics Engineer Resume

The section contact information is important in your data analytics 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
  • Email
  • Telephone number

Work Experience in Your Data Analytics Engineer Resume

The section work experience is an essential part of your data analytics 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 analytics 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 analytics engineer position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Data Analytics Engineer resume experience can include:

  • Strong communication skills (written, verbal, and visual) – ability to communicate market data and engineering analysis regarding conclusions that were reached
  • Related experience or equivalent skills & ability
  • Related experience or equivalent skills & ability
  • Testing, Problem solving and debugging skills
  • Experience installing, validating, testing, and packaging on Red Hat Linux and Wintel platforms
  • Experience in relational database concepts with a solid knowledge of dimensional modeling, SQL and SQL Tuning preferably in MS SQL

Education on a Data Analytics Engineer Resume

Make sure to make education a priority on your data analytics 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 analytics 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 Analytics Engineer Resume

When listing skills on your data analytics 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 analytics engineer skills:

  • Proven ability to work effectively in a collaborative, teaming environment
  • Good analytical and predictive modeling skills
  • Experience with applied statistics skills, such as distributions, statistical testing, regression, etc
  • To have strong co-ordination and project management skills to handle complex projects
  • Strong analytics skills - From platform backend to front end design, architecture and implementations
  • Strong analytical skills and knowledge in statistics and data analysis.-

List of Typical Experience For a Data Analytics Engineer Resume

1

Experience For Senior Data Analytics Engineer Resume

  • Strong experience in data modeling in Cassandra to design efficient storage model to meet variety of business needs
  • Strong hands-on experience with Linux/Unix
  • Analytical scripting language skills, such as Python, R, SAS
  • Excellent time management and the ability to prioritize work and complete assignments within their allotted deadline
  • Programming experience with C, C++, C# or Java
  • Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
2

Experience For Lead Data Analytics Engineer Resume

  • Experience using statistical modeling or machine learning to build models that drive decisions
  • Experience building SQL queries, including creating sub-queries, minus/union, and in-line queries
  • Experience in working on cross-functional, multi-cultural teams and interfacing with a global customer base
  • Development experience in back-end technologies like Java, Microservices using Spring Boot and Unix
  • Experience in databases (DB2, Oracle, MySQL, etc), writing complex queries and SQL tuning
3

Experience For Senior Principal Big Data Analytics Engineer Resume

  • Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
  • Development experience in back-end technologies like Java, Microservices using Spring Boot and Unix
  • Linux/Unix development experience using one or more of JAVA, R, Perl, Python, C/C++
  • Hands on experience in data collection, database design and extraction, transformation and loading of data (ETL, SQL, data streams)
  • Demonstrate analytic agility to meeting fluid and dynamic business needs in this space
4

Experience For Big Data Analytics Engineer Resume

  • Work with management and user community to scope and prioritize project efforts using risk vs value criteria
  • Periodically evaluate existing models to insure continued effectiveness
  • Experience building highly scalable batch and real-time ETL pipelines
  • Experience with Scala, AWS, Java, SQL, Hive, Spark, R or Python and deep knowledge of relational databases and methods for efficiently retrieving data
  • Experience with using VC++ for Python 2.7
5

Experience For Data & Analytics Engineer Resume

  • Experience building high quality software in Python, Java, or Scala
  • Solid understanding of BI and analytics landscape, preferable in large-scale development emvironments
  • Experience with building financial applications or Mobile applications
  • Experience conducting software development activities within an agile environment
  • Experience with reporting tools, such as Business Objects, WebFocus, or SSRS
  • Related cyber engineering experience
  • Good understanding of ETL tools such as Informatica, Data Stage or Ab Initio
  • Experience developing advanced analytics solutions in Tableau
6

Experience For Lead Data & Analytics Engineer Resume

  • Experience using Tableau Desktop and Tableau Server
  • Experience with using the Tableau JavaScript API functionality
  • Experience with writing complex queries for SQL Server or Oracle databases
  • Experience with developing data visualizations in Tableau
  • Experience with at least one Machine/Deep Learning framework-
  • Experience working in R or python-
7

Experience For Big Data & Analytics Engineer Resume

  • Practical experience with Machine Learning algorithms of 2-5 years.-
  • Experience with SQL/ Java Scripting
  • Experience developing innovative solutions to complex problems
  • Strong understanding and management of SQL environment
  • Deep experience in programming languages like Java, R, Python
  • Extensive experience in Querying engines like Hive, Impala or Drill
  • Relevant experience with ETL, data modeling and business intelligence architecture
  • Experience in Cloud data application development and engineering
  • Experience with Extraction, Transformation, and Loading Tools
8

Experience For CDI Data Analytics Engineer Resume

  • Deep experience in one or more languages (Python, Java, JavaScript, C++, R ) and Linux scripting
  • Strong knowledge of design patterns, data structures, multi-threading and algorithms
  • Experience in developing applications on cloud (AWS, IBM Cloud etc), Docker and CI/CD tools like Jenkins
  • Minimym of six (6) years of experience developing analytics solutions with large data sets within an OLAP and MPP architecture
  • Experience building data pipelines and analytics systems on distributed data systems
  • Experience in Scala or Python scripting
9

Experience For Chemometrics Data Analytics Engineer Resume

  • Experience of building scalable high availability analytics solutions,
  • Experience with building ETL and data pipelines for consumption by analysts and data scientists
  • Experience with AWS cloud technologies (EC2, S3, Redshift) and scaling applications in the cloud
  • Rotary wing experience
  • Work experience leading a small team of data analysts
  • Strong proficiency in C++ and other high level languages such as Python, Java, C#, etc
  • Experience with large scale data and distributed systems
10

Experience For Big Data Analytics Engineer, Junior Resume

  • Hands on experience of big data platform like Hadoop, Mahout
  • Be the brain trust for the project requirement, work with quality assurance teams to validate proposed solution against user requirements end-to-end
  • Validate design and requirement against data map and compliance policies within OCC
  • Review and recommend processes for opportunities and to improve efficiency and effectiveness
  • Validate code against business and architectural requirements

List of Typical Skills For a Data Analytics Engineer Resume

1

Skills For Senior Data Analytics Engineer Resume

  • Solid SQL skills – via exposure to RDBMS’s such as Amazon Redshift, Google Cloud BigQuery, SQL Server, Oracle, Teradata, postgres, etc
  • Solid data analysis and data discovery skills – via related technologies (SQL, Python, R, BI tools)
  • Good Linux knowledge and experience, including shell scripting
  • Masters in Computer Science, Computer Engineering, Electrical Engineering with 3+ years of experience, or BS in same fields with 5+ years of experience-
  • Strong problem-solving skill set and ability to learn new technologies quickly
  • Healthcare industry experience with and strong knowledge of X12/EDI claims processing (specifically 837I/837P)
  • Other Programming skills: Shiny R studio, Spark, JavaScript, Flask, Django and SAS
  • Programming skills on Python, Java or related high-level language
2

Skills For Lead Data Analytics Engineer Resume

  • Experience prioritizing a heavy workload in a fast paced environment
  • Analytic, Data Sourcing, and Content Management skills
  • Strong understanding and experience in 3NF or dimensional (e.g. STAR schema) approaches for data warehouse environment
  • Develop new innovations in the use of the data and data mining techniques to effectively extract meaningful information from data sets
  • Proven experience as senior developer, database modeler, and data expert
  • Demonstrated skill in feature extraction and real time analytics development and deployment
3

Skills For Senior Principal Big Data Analytics Engineer Resume

  • Advanced programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems
  • Experience working in R or python- Experience working with OO languages and templates
  • Passion for solving intricate business problems using data science.-Proven experience in R/Python.-
  • Proven experience in working in big data, Hadoop and Spark environment - advantage
  • Proven experience in R/Python
  • Skills in any of these areas
  • Effectively communicate recommendations to stakeholders and management
  • Abstraction and analytical skills especially statistical
  • Works effectively with teams and stakeholders to achieve common goals
4

Skills For Big Data Analytics Engineer Resume

  • Advanced Numerical Skills (Mathematical, Logic, Statistics)
  • Prior experience in a development environment
  • Has the investigative mindset and related skills that can be used with any number of tools to explore available data
  • Work experience that reflects a proven track record or proficiency in the competencies noted
  • Proven experience as a BI Developer
5

Skills For Data & Analytics Engineer Resume

  • Building effective visual presentations and analytical dashboards using PowerBI, Tableau and other tools to present analytical findings
  • Working experience in Analytical Software tools - Spotfire, R Programming, Python or similar in the Industrial sector
  • Programming experience in Java, C/C++
  • Working production experience with Hadoop Map/Reduce
  • Experience designing, reviewing, implementing and optimizing data transformation processes using Big Data tools like Spark, Presto, and Hive
  • Any past experience with optimizing computing techniques i.e. parallel processing, grid computing etc
6

Skills For Lead Data & Analytics Engineer Resume

  • Wide Knowledge and experience in data modeling, Working knowledge of data mining, and distributed computing
  • Experience with developing and testing server-side software and developing and testing front-end interfaces or dashboards
  • Any past experience with optimizing computing techniques parallel processing, grid computing etc
  • Experience with building operations research machine learning algorithms, and productionizing them at scale in a distributed computation environment
  • Experience with manufacturing tracking software systems and knowledge of semiconductor process/manufacturing in a high-volume production environment
  • Experience working with cloud and custom API’s and presenting/transacting data
  • Academic experience with Machine Learning Data Mining algorithms during studies, related thesis is an advantage.-
  • Strong programming knowledge in Core Java, JVM fine tuning, C++, Scripting language Python etc.,
7

Skills For Big Data & Analytics Engineer Resume

  • Experience with designing and developing databases and developing extract, transform, and load (ETL) workflows
  • Experience building microservices using Spring Boot
  • Experience applying multivariate statistical analysis algorithms - machine learning / regression / clustering
  • Experience in Streaming or Real-time processing technologies like Kafka or Spark/Storm
  • Software Engineering, Software Development, User Experience, User Interface Programming
  • Demonstrate on-going learning to keep up with technological advances
  • Solid understanding of the cloud computing SaaS, PaaS, and IaaS concepts
  • Experience with application development using several high level programming languages: Python, C++, JAVA, Javascript
  • Experience building and deploying data integration projects
8

Skills For CDI Data Analytics Engineer Resume

  • Experience working with one or more of the following languages: R/SQL/Python/C/C#
  • Experience with strategic planning and understanding from a broad perspective of current government and private sector cyber security policies and approaches
  • Experience developing web applications using HTML & CSS and JavaScript
  • Experience with developing and testing REST-like API services
  • Experience with developing and maintaining test suites
9

Skills For Chemometrics Data Analytics Engineer Resume

  • Masters in Computer Science, Computer Engineering, Electrical Engineering, or BS in same fields with 2+ years of experience-
  • Experience in Object Oriented Programming (i.e. C++, Java Scripting)
  • Experience designing and optimizing data storage platforms
  • Experience designing and optimizing database schemas
  • Review warranty claims from various sources using an engineering lens to identify high priority claims
  • Hands-on experience with Apache Cassandra and Cassandra Data Modeling (conceptual, logical and physical data modeling)
  • Experience working with distributed systems technologies and distributed computing frameworks
10

Skills For Big Data Analytics Engineer, Junior Resume

  • Strong understanding of CQL, Data Modeling in-order to achieve highly performant data access
  • Experience in Machine Learning, Deep Learning, Data Science
  • Possess strong statistical aptitude & data crunching ability, data mining ability
  • Core Java Server Side programming experience on Unix/Linux with multi-threading
  • Experience in developing tools for the purpose of data extraction, data cleansing, and manipulation
  • Possess strong statistical aptitude and data crunching & mining ability
  • Experience working with and communicating technical information to multiple levels of technical and non-technical staff in written and verbal form
  • Experience with working in a large enterprise environment and integrating solutions for a multi-vendor environment
  • M.S. in Business Analytics/Applied Statistics or similar or at least 2 years of experience in programming and building statistical models

List of Typical Responsibilities For a Data Analytics Engineer Resume

1

Responsibilities For Senior Data Analytics Engineer Resume

  • Proficiency of scripting and programming skills, especially those such as D3.js, Python, C#, or Java
  • Experience using MS Office suite, including Microsoft Access, Excel, PowerPoint, and Word
  • Any suitable combination of education, training, and/or experience is acceptable
  • Practical experience with Big Data systems, data processing and analytics tools
  • Experience with streaming or real-time databases such as KDB
2

Responsibilities For Lead Data Analytics Engineer Resume

  • Experience with highly parallel programming systems such as Map/Reduce, Spark or GPUs
  • Experience using Analytics tools such as R and/or MATLAB,
  • Experience in R, Python and/or Scala
  • Solid interest in Math and Data Science
  • Experience developing models for decision support
  • Solid understanding of statistical modeling tools and techniques
  • Relevant work experience in related field
  • Experience developing solutions that are scalable for large data sets and able to be placed into production
  • Experience with at least two programming languages such as Java, Python or Scala
3

Responsibilities For Senior Principal Big Data Analytics Engineer Resume

  • Hands-on experience of programming with Java, Python, Scala, SQL, CQL
  • Experience building data pipelines, data catalog, metadata management and lineage
  • Skilled in reviewing data for trends
  • Build understanding of firm wide priorities and technology offerings and collaborates with teams where appropriate
  • Experience with deep learning techniques and software packages - TensorFlow / CNTK / Keras
  • Experience with real-time, front-office/back-office trading systems
  • Experience with messaging protocols - TIBCO RV / TIBCO EMS
4

Responsibilities For Big Data Analytics Engineer Resume

  • Experience transitioning proof-of-concept analysis and models into deployed production applications
  • Experience with performance tuning Informatica mappings and sessions
  • Summarize analysis results and provide technical reports to Market Quality Management members, specifically critical, high-priority items
  • Experience with Data Science workbench such as DataIku or Domino Lab is nice to have
  • Experience with Cloud architecture & service like AWS, Azure
  • Experience with developing solutions and integrating and extending Open Source Software or COTS products
5

Responsibilities For Data & Analytics Engineer Resume

  • Experience with virtualized / cloud computing / storage environments
  • Data handling and presentation experience
  • BS in Computer Science or similar field and 10 or more years experience
  • Analyse all available information to identify root cause issues, trends and to develop and prioritise improvement plans
  • Experience with a broad base of commercial and open source analysis and visualization tools - Mat Lab / Python / R / SAS JMP / Tableau
  • Experience with relational databases and SQL environments
6

Responsibilities For Lead Data & Analytics Engineer Resume

  • Experience with services oriented architecture and design
  • Experience with Cache technology - Coherance cache
  • Validate design with business requirements to ensure completeness of the ETL solution
  • Relevant experience combined with wind & site with statistics
  • Prioritize work load and make sound decisions for assigned team's data analysis activities
  • Proven track record in resolving core ETL performance issues
  • Experience with Linux/Unix development using JAVA, R, Perl, Python, C/C++
  • Experience with data collection, database design and extraction, transformation and loading of data (ETL, SQL, data streams)
7

Responsibilities For Big Data & Analytics Engineer Resume

  • JBOSS knowledge and experience
  • MS SQL or Oracle knowledge and experience
  • Experience with system administration and servers maintenance
  • Experience in related field
  • Experience in requirement gathering and documentation
  • Demonstrated ability to work both independently and in a team-oriented, collaborative environment
  • Experience or significant course work in statistical data analysis and related tools and techniques
8

Responsibilities For CDI Data Analytics Engineer Resume

  • Hands On Experience with Big Data technologies like Apache Hadoop, Apache Pig, Apache Hive and Apache Sqoop
  • Experience with Hadoop/ Big Data Analytics
  • Experience with SAP Hana XS Tool
  • Experience with SAP Data and Processes
  • Demonstrated ability to work with virtual teams
  • Experience with Business Intelligence Tools (i.e. Tableau, SAP IDT, Webi, Design Studio, Lumira)
  • Strong knowledge of Java (4+ years)
  • Good knowledge of Python or Node.js (1+ years)
  • User level experience with cloud services (AWS)
9

Responsibilities For Chemometrics Data Analytics Engineer Resume

  • Experience with relational SQL
  • Experience in Spark
  • High preference for individuals with Looker development and administration experience
  • Relevant experience, based on education
  • In the software industry. 2+ years of experience in big data techno
  • Experience of visualisation technologies (we are focused on OBIEE and Microstrategy),
10

Responsibilities For Big Data Analytics Engineer, Junior Resume

  • Experience in a language similar to Java where speed and memory usage mattered
  • Experience with REST APIs, web services, platform services, microservices, and similar technologies
  • Experience with SQL and NoSQL database technologies, able to optimize query performance in columnar DBs
  • Knowledge and experience with current Big Data technologies (Hadoop, Spark, Luigi, EMR)
  • Experience : 5-8 Years
  • Experience with Cloudera distribution of Hadoop (CDH)
  • Related experience in digital media and/or monetization
  • Any experience with statistical analysis software, such as Weka, R, Rapid-Miner, Matlab, SAS, SPSS
  • To be able to tune Hadoop solutions to improve performance and end-user experience

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