Data Engineer, Analytics Resume Sample
Erin Koss
35142 Bradtke Mills,
Houston,
TX
+1 (555) 804 5152
Work Experience
Senior Analytics Data Engineer
01/2018
-
PRESENT
New York, NY
- Specify processes for automated data delivery (interfaces and processes) into analytical database (involves partnering with internal data owners to specify requirements for input formats)
- Specify data transformations in data loading process
- Model new data points into analytical data model, document semantics and specify relations to existing data points
- Define development guidelines for database development
- Specify and implement a data quality concepts
- Define and implement a scheduling and monitoring strategy for automated data delivery into the analytical database
- Plan go live and handover to Service Manager
- BS/BA in Computer Science or Mathematics or 2+ years experience in the data warehouse space
Analytics Data Engineer
06/2013
-
07/2017
Philadelphia, PA
- Benchmark and evaluate new software packages and infrastructure
- Field technical escalations and aid in technical training for our team of Data Analysts and Software Engineers
- Identify areas of improvement with existing scripts and existing database/ETL infrastructure
- Become proficient in optimization, debugging and building of production ready services using Hive and Spark
- Provide feedback for report delivery and infrastructure workflow improvement efforts
- Programming knowledge in Python or Java
- Design, architect, document, develop, test and maintain systems and processes to collect, transform, store and enable analysis of structured and unstructured data. Take into account considerations related to privacy & security, reliability and scalability
- Curate data, ensure data quality and integrity. Create and maintain a data dictionary of all key sources and tables. Document key stakeholders, DRIs, and dependencies
- React instantaneously to any incidents and promptly fulfill new data & ETL requests
Data Engineer, Analytics, Intern / Co-op
01/2011
-
04/2013
Phoenix, AZ
- Experience with analyzing data to identify deliverables, gaps and inconsistencies
- Experience in managing and communicating data warehouse plans to internal clients
- Focus on exceeding client expectations and delivering against our continuous improvement goals, taking a client problem and turning it into a technical solution
- Provide technical oversight for other team members, providing mentoring and guidance on technologies and methodologies
- Experience in writing SQL statements
- Evaluate off-the-shelf/custom data processing packages to collect, store and transform HP’s digital data
- Experience with object-oriented programming languages
- Communication skills including the ability to identify and communicate data driven insights
- Ability in managing and communicating data warehouse plans to internal clients
Education
University of Maine at Farmington
2006 - 2010
Engineer's Degree in Computer Science
Professional Skills
- Strong Sql Skills to perform data extraction, data validation and unit testing
- Excellent oral and written communication skillsDeep knowledge in data mining, machine learning, natural language processing, or information retrieval
- Strong interpersonal, teamworking and communications skills
- Strong experience with Unix/LinuxETL and data movement tools experience including: DataStage, Sqoop, and Pivotal Data Loader
- Strong skills in one of the programming languages (python or Scala)
- Critical thinking skills: able to analyze a request and identify the underlying issue
- Strong experience in at least two scripting, object oriented or functional programming language, etc. SQL, Python, Java, Scala, C#, R
How to write Data Engineer, Analytics Resume
Data Engineer, Analytics role is responsible for architecture, languages, training, database, security, java, reporting, design, research, digital.
To write great resume for data engineer, analytics job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Engineer, Analytics Resume
The section contact information is important in your data engineer, analytics 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 Engineer, Analytics Resume
The section work experience is an essential part of your data engineer, analytics 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 engineer, analytics 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 engineer, analytics position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Engineer, Analytics resume experience can include:
- Understanding business requirements and design and implement analytics solutions enabling stakeholders to manage the business and make effective decisions
- Working experience with business intelligence tools and platforms
- Experience with communication including identifying and communicating data driven insights
- Commercial client-facing project experience, including working in close-knit teams
- Experience writing, deploying and maintaining production code
- Data Warehousing experience, building operational ETL data pipelines across a number of sources, and constructing relational and dimensional data models
Education on a Data Engineer, Analytics Resume
Make sure to make education a priority on your data engineer, analytics resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data engineer, analytics 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 Engineer, Analytics Resume
When listing skills on your data engineer, analytics 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 engineer, analytics skills:
- Experience in handling IT Service Provider Vendors and team effectively
- Strong experience designing for and using relational databases
- Experience with non-relational database systems like HBase, Cassandra, DynamoDB, MongoDB, etc. Experience with Visualization tools and building dashboards
- Manage customer expectations effectively
- Working experience with data modelling, data access, and data storage techniques
- Working experience working with relational and NoSQL databases
List of Typical Experience For a Data Engineer, Analytics Resume
1
Experience For Analytics Data Engineer Resume
- Strongly collaborate with data scientists throughout the data science life cycle
- Strong sense of ownership with a bias for action and willingness to roll up your sleeves
- Experience with ETL (extract, transform, load) and visualization tools
- Hands on experience in HiveQL, Drill , Impala and OOzie work flows
- Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt
- Background and experience in…
- Ensuring the quality and currency of data in the analytics data store, monitoring for issues and engaging data stewards to resolve
2
Experience For Operation Data Management & Analytics Engineer Resume
- Model semi-hierarchal healthcare data at multiple levels with formal knowledge modeling and entity schemes
- Perform hybrid qualitative-quantitative work to evaluate data sources, data pipelines, knowledge modeling schemes, and to recommend next steps
- Help supervise training of junior team members
- Collaborate across divisions on data collection, analysis, engineering and management in multiple big data environments in large scale
- Dogmatic about a particular programming language- language agnostic programmers welcome!
- A desire to investigate and follow engineering best practices
- Participate in the planning process for hardware and software
- Proficient in one scripting languages (e.g., Python)
3
Experience For Data Engineer, Visualization Analytics Resume
- Expertise in SQL and query performance optimization (BigQuery)
- Design pipelines that extract data from health claims, EHR and other databases, transform/clean them via complex algorithms, integrate them with other data sets, and store them
- Write and edit automated and semi-automated scripts for data analysis and manipulation
- Collaborate with team members to build project plans and timelines
- Transform vague directives into concrete, actionable tasks, procedures, and outputs
- Communicate data insights in a variety of ways from numbers to visualizations
4
Experience For Data Engineer, Advanced Analytics Resume
- Create easily understandable metrics and views of the raw data for consumption by Autodesk internal and external stakeholders
- Transform strategy into capabilities
- Design & lead solution development
- Develop and test solution components
- Solution maintenance & support
- Focus on optimization and operations research with an ability to support data driven decisions
5
Experience For Data Engineer of Digital Analytics Resume
- Evaluate software products and provide documented recommendations as needed
- Plan and work on practice development as needed in tool/utility development, use case evaluation, conducting screens for technical resources and white papers etc
- Create Best Practices and enforce those practices, to optimize the Analytics Data Store data loading and consumption
- Identify data needs for projects, architect, plan, and execute the extract, transform, and load (ETL) activities, using a combination of 3rd party and open source technologies
- Design and implement an analytical environment using third-party and in-house analytics tools (including IBM's SPSS), modeling metadata, building reports and dashboards and administering the analytics platform
- Ensures data quality and implements tools and frameworks for automating the identification of data quality issues
- Understands and enforces appropriate data master management techniques
- Understands the challenges that the analytics organization faces in their day-to-day work and partner with them to design viable data solutions
- Implements and optimizes data solutions in enterprise data warehouses and big data repositories
6
Experience For Senior Analytics Data Engineer Resume
- Installs, maintains, monitors, and supports business intelligence, distributed computation, and big data analytics tools
- Actively participates in the engineering community, staying up to date on new data technologies and best practices and shares insights with others in the organization
- Convert analytics strategy into architecture guidelines
- In conjunction with Data Scientists, create analytic solutions in line with Stakeholder needs
- Design, develop, and deliver analytics solutions
- Provide operations support for Analytics solutions
- Knowledge of Azure Data Platform services and capabilities
- Knowledge of IoT data architectures
7
Experience For Data Engineer Analytics Resume
- Knowledge of Big Data technologies such as Hadoop, Spark, Storm, and Hive
- Knowledge in Python or Java
- Analyze data to identify deliverables, gaps, and inconsistencies
- Identify and communicate data driven insights
- Ability and desire to learn new software languages, technologies (we constantly evolve)
- Able to translate business problems into technical solutions
- Working experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems
8
Experience For Data Engineer, Public Sector Analytics Resume
- Experience with IBM's SPSS product is desirable
- Cloud Operation Experience with AWS
- Knowledge of efficient data structures for medium to large data sets for Advanced Analytics applications
- Experience and interest in relational data base management systems (MySQL, IBM DB2, Oracle Database, etc.) and big data technologies (e.g. Hadoop, Presto, Hive, Impala, Spark, HBase)
- Enthusiasm and willingness to learn new technologies
- Industry experience in data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
- Knowledge of data management fundamentals and data storage principles
9
Experience For Deloitte, Analytics Data Engineer, Belfast Resume
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience in developing Big data and business intelligence solutions. At least 1- 2 years of relevant experience developing solutions in Hadoop Environment
- Applicable process domains knowledge
- Applicable analytics technologies; develop and run processes
- Expert knowledge in SQL query language is required
- Design, build and launch new data pipelines in production
10
Experience For Advanced Analytics Data Engineer Resume
- Moderate Proficiency with…
- Manage strategy execution
- Manage solution roadmap
List of Typical Skills For a Data Engineer, Analytics Resume
1
Skills For Analytics Data Engineer Resume
- Working experience with batch and real-time data processing frameworks
- Experience provisioning and maintaining highly-available, fault-tolerant IT infrastructure including servers, storage, and data stores
- Cloud operation experience: running real workloads in the cloud and diagnosing and fixing problems
- Experience with Getting and Cleansing Data (ETL), including SalesForce and Big Data sources, is highly desirable
- Experience with programming languages, including Python and Java
- Previous experience working in big data environment, solving problems at scale
- Experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, HBase, Scala, Spark etc.)
- Experience authoring workflows (using technology like Apache Airflow)
2
Skills For Operation Data Management & Analytics Engineer Resume
- Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos etc.)
- Creativity in validating and optimizing analytic solutions
- Work with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings
- Experience managing and communicating data warehouse plans to internal clients
- Experience using Python or Java
- A proven ability in clearly communicating complex solutions
- Experience with dimensional data modeling and schema design in Data Warehouses
3
Skills For Data Engineer, Visualization Analytics Resume
- Experience in custom or structured design, including Informatica, Talend, Pentaho, or Nifi, ETL, implementation, and maintenance
- Experience in working with either a Map Reduce or an MPP system
- Experience with custom or structured design, including Informatica, Talend, Pentaho, or Nifi, ETL, implementation, and maintenance
- Experience in working with a Map Reduce or an MPP system
- Experience in working with either a MapReduce or an MPP system
- Experience with dimensional data modeling and schema design in data warehouses
- Experience in working with a Map Reduce or MPP system
4
Skills For Data Engineer, Advanced Analytics Resume
- Experience in a data engineering role
- Excel in team collaboration and working with others with diverse skill-sets and disciplines
- Highly motivated with the ability to perform under tight deadlines and changing priorities
- Experience managing data pipelines in AWS
- Experience using AWS (S3, Lambdas, RDS)
5
Skills For Data Engineer of Digital Analytics Resume
- Experience working with big data platforms (Hadoop, Spark, Hive)
- Relevant software development experience using R, Python, Java and/or Scala
- Experience using big data technologies (Hadoop, Hive, Hbase, Spark etc.)
- Experience working with AWS big data technologies (Redshift, S3, EMR)
- Experience in creating SQL statements
6
Skills For Senior Analytics Data Engineer Resume
- Actively works with less experienced data engineers providing technical guidance and oversight
- Data analysis/reporting experience
- 2 – 5 year of working experience
- Experience working with either a MapReduce or an MPP system
- Experience analyzing data to identify deliverables, gaps and inconsistencies
7
Skills For Data Engineer Analytics Resume
- Experience in software engineering and have a desire to focus on data
- Strong familiarity with at least one programming language
- Strong back ground and understanding of Hadoop platform
- Good in RDBMS and writing T-SQL
- Experience implementing Hbase models
- Hands on experience in data loading like Sqoop, Flume etc
8
Skills For Data Engineer, Public Sector Analytics Resume
- Experience with Apache Solr or ElasticSearch, Spark, or Hadoop
- ETL tool experience (Kettle, Talend, Etc)
- Streamlining, improving & supporting existing data pipelines and systems
- Programming, configuration and troubleshooting on automation systems, process control systems (Major DCS & Rockwell Automation PLC’s)
- Deploying machine learning models in a variety of environments
- Working knowledge of Linux based client server applications
- Supporting the Enterprise Analytics server platform
- Engaging with infrastructure resources
- Understanding of distributed systems concepts, problems and solutions
9
Skills For Deloitte, Analytics Data Engineer, Belfast Resume
- Building range of data products, simple to complex
- Engineering solutions for new data pipelines
- Consult clients through requirement gathering and collaboratively defining a solution
- Knowledge of best practices in data infrastructure, modeling, integration, warehousing, performance optimization, security, governance, and analytics
- Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks
- Track record of solving data problems including quality & integrity
- Serve in leadership roles, consulting role and communicate with development teams
10
Skills For Advanced Analytics Data Engineer Resume
- Take pre-qualified opportunities, undertake exploratory meetings with the sales director and the client in order to drive a solution, proposal, and to close the deal
- Troubleshoot production issues and performance tuning with Big Data
- Knowledge of using the SQL Server platform
- Able to lead team as needed and working with offshore team
- In using SQL and databases in a business environment
- In using OLAP technologies and BI Analytics
- A passion for building highly automated systems
- Knowledge of distributed systems as it pertains to data storage and computing
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