Data Engineer, Analytics Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the data engineer, analytics job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.

USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.

SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Create a Resume in Minutes

H Hansen

Harmony

Hansen

238 Lyla Place

Houston

+1 (555) 334 4570

238 Lyla Place

Houston

Phone

p +1 (555) 334 4570

Experience Experience

Philadelphia, PA

Data Engineer, Analytics, Intern / Co-op

Philadelphia, PA

Ryan LLC

Philadelphia, PA

Data Engineer, Analytics, Intern / Co-op

Support critical data processes running in production
Curious, self-driven, analytical and excited to play with data
Architect, implement and deploy new data models and data processes in production
Programming expertise in a language of your choice
Knowledge of SQL
Knowledge of database systems
Design, build and launch new data models in production

Boston, MA

Analytics Data Engineer

Boston, MA

Botsford-Howe

Boston, MA

Analytics Data Engineer

Manage all HP.com reporting and data infrastructure (reporting datamarts, ETLs, data visualization tool management, user management)
Work with data science and analytics teams to define and implement project specific data management approaches
Develop data ETL pipelines for multiple storage solutions, including distributed platforms such as Hadoop
Manage and prioritize multiple assignments
Create and maintain documentation on current environment, data locations/sources and models, ETL processes and associated code
Collaborate with other internal and external Analytics & Engineering teams to drive continuous improvements in metrics quality and processes
Act as a technical expert addressing problems related to system and application design, performance, integration, security, etc

present

San Francisco, CA

Data Engineer, Analytics

San Francisco, CA

Dickinson-Klocko

present

San Francisco, CA

Data Engineer, Analytics

present

Manage data warehouse plans for a product or a group of products
Work with data infrastructure to triage infra issues and drive to resolution
Inform, influence, support, and execute our product decisions and product launches
Perform data analysis to generate business insights
Manage data warehouse plans for a business vertical or a group of business verticals
Manage the delivery of high impact dashboards and data visualizations
Create automated ETL pipelines for a wide variety of data sources

Education Education

Bachelor’s Degree in Computer Science

Ball State University

Bachelor’s Degree in Computer Science

Skills Skills

Strong writing and client facing communications with the ability to effectively develop and maintain client relationships
Excellent analytical and problem solving abilities
Able to think and act strategically
Strong written, verbal, and presentation skills
Action oriented and able to prioritize while handling multiple tasks
5+ years in client facing roles with good understanding of data architecture, ETL and BI solutions etc
7+ years' experience in information technology and/or IT professional services
Prior experience with Big Data ETL tools like Informatica BDM, Talend
Experience customizing off-the-shelf products as well as custom development of tools for data collection, analysis, and reporting
5+ years’ full-time work experience with data management and BI tools, including setting up ETL processes, synthesizing data across multiple sources, extracting relevant information, and generating readable, understandable reports/dashboards

Create a Resume in Minutes

15 Data Engineer, Analytics resume templates

Read our complete resume writing guides

Do not Use-data Engineer, Analytics Resume Examples & Samples

Design, build and launch new data models in production
Design, build and launch new data extraction, transformation and loading processes in production
BS/BA in Computer Science or Mathematics
2+ years experience in the data warehouse space
2+ years experience with programming languages, Python preferred
Hands on and deep experience with schema design and dimensional data modeling
Ability to write efficient SQL statements
Ability and interest in managing and communicating data warehouse plans to internal clients

Data Engineer Analytics Resume Examples & Samples

Pro-active (engaging & impact-oriented) mindset, ability to think end-to-end
Ability to work in a fast-paced environment with different international cultures
Business mindset: very good numerical and analytical skills
Good communication (both written and verbal) and facilitation skills (small and large groups), especially when interacting with different levels of business
Fluent English (verbal and written),
Strong MS-Office skills (Word, Excel, PowerPoint)
Minimun of 3 - 5 years of work experience related to this field
Minimum of 2 years of hands-on data engineering experience
Strong expertise in conceptual data modeling
Hands-on know how of data integration tools and methodologies (e.g. Informatica, BO Data Integrator, Tibco, etc.)
Strong expertise in database and Big Data technologies and software (ideally SAP HANA, Hadoop and related query / processing languages like SQL, Hive, Pig, Map Reduce)
Expertise in data science methodologies, specifically data provisioning to statistical models and operational model management (ideally in R or SAS)
Ideally expertise in management of unstructured data
General business understanding
General BI Skills preferred

Data Engineer, Analytics Resume Examples & Samples

4+ years of experience with dimensional data modeling & schema design in Data Warehouses
2+ years of experience in custom or structured (ie. Informatica/Talend/Pentaho) ETL design, implementation and maintenance
2+ years experience with programming languages. Python and Java - advantage
Ability to analyze data to identify deliverables, gaps and inconsistencies
Excellent communication skills including the ability to identify and communicate data driven insights
BSc or MS degree in Computer Science or a related technical field
Experience working with either a Map Reduce or an MPP system – an advantage

Data Engineer, Analytics Technology Resume Examples & Samples

Undergraduate degree in the field of computer science or engineering, or focus on statistical analysis or equivalent experience required. Masters degree in related proficiencies preferred
Three (3) to five (5) years of data analytics experience, working in large scale/distributed SQL, NoSQL, and/or Hadoop environments
Proficiency in building data pipelines and/or related ETL pipelines within large-scale distributed frameworks as well as related query/processing technologies such as Spark, Impala, Hive, or Presto
Thorough understanding of summary statistics, machine learning, natural language processing, and mathematically focused programming languages such as R and Python
Ability to quickly understand which data is used by which business processes and what the data means in the context of these specific processes
Experience leveraging Elasticsearch for ingest and query design, or related solution such as Kibana, etc
Experience leveraging messaging and queuing solutions such as Kafka, RabbitMQ, Tibco
Ability to work effectively within cross-functional business and technical teams, as well as proficiencies with Agile/Scrum methodologies
Demonstrated business acumen and the ability to apply technology solutions to solve business problems
Working knowledge of media sales and/or research operations, including broadcast TV, digital, and mobile preferred
Experience working in hybrid cloud environments a plus
Experience working with data sources such as Nielsen, Adobe Analytics, comScore, Hitwise, and other industry research sources a plus
Strong interpersonal oral and written communication skills
The ability to quickly build rapport and gain the respect and cooperation of both technology and business peers
Be able to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment
Active passion for the media space
Customer-focused
Strong teamwork and interpersonal skills; ability to communicate and persuade peers and thrive in a cross-functional matrix environment
Ability to articulate ideas to both technical and non-technical audiences
Continually improves upon weaknesses while maintaining and utilizing strengths to reach goals
Able to quickly learn new technologies as they become prevalent and widely implemented, and develop oneself
Personally driven to utilize both proven and unique solutions to address business problems until issue is resolved
Asks informative, open-ended questions when necessary, and actively listen to responses

Data Engineer, Analytics Resume Examples & Samples

BS/BA in Technical Field, Computer Science or Mathematics
2+ years experience working with either a Map Reduce or an MPP system
2+ years experience with object-oriented programming languages (e.g. Python or Java preferred)
2+ years experience with schema design and dimensional data modeling

Data Engineer, Analytics Resume Examples & Samples

2+ years experience with programming languages (e.g. Python or Java preferred)
2+ years experience with schema design and data modeling
Experience in managing data warehouse plans to internal clients

Deloitte, Analytics Data Engineer, Belfast Resume Examples & Samples

Be based in and work in our Belfast studio with the potential requirement to work on client site depending on need
Lead the design of analytical solutions from initial data assessment to development and deployment of models
Participate in the full service lifecycle, from design to sales, through to setup and delivery
Have the opportunity to lead and directly shape client relationships, with extensive client interaction
Focus on delivering the highest quality solutions using techniques like data mining and predictive models
Be highly collaborative, working closely with clients and end users
Be supported by Deloitte's commitment to invest in its people through a structured training programme that includes on-going recognised certification in latest methodologies and technologies
Work in an environment where self-development, learning and knowledge sharing is actively encouraged as part of the day-to-day work of the team. The role may involve a significant amount of travel within the UK and overseas and will require the flexibility to meet peaks of work inherent in the cycle of a deal
Business Intelligence: Experience developing solutions using BI tools (e.g. IBM Cognos BI, SAP Business Objects, Tableau, SAS)
Data warehousing: Strong relational database and data warehousing knowledge (including T-SQL, PL/SQL or similar)
Data management: Proven capability in the use of ETL and/or Master Data Management solutions (Informatica, MS SQL Server, IBM InfoSphere)
Business consulting: Experience of working with clients to understand, refine and execute technology-enabled change projects
Team working and leadership: A strong background in collaborative working with other creative and passionate data engineers

Data Engineer, Analytics Resume Examples & Samples

A Bachelors, Masters or PhD degree in one of the following areas: Computer Science, Mathematics or Physics
Programming expertise in a language of your choice (e.g. Python or Java preferred)
Ability to thrive in a fast paced work environment

Data Engineer, Analytics, Intern / Co-op Resume Examples & Samples

Pursuing a BS, MS, or PhD degree in one of the following areas: Computer Science, Mathematics, Physics, or related technical field
Programming expertise in a language of your choice
Returning to one semester of school at the end of internship

Analytics Data Engineer Resume Examples & Samples

This position requires a Bachelor's Degree in Computer Science or a related technical field, and 1+ years of relevant employment experience
2+ years in using SQL and databases in a business environment
2+ years in using OLAP technologies and BI Analytics
Experience writing machine learning algorithms
Able to write Shell Scripts in Linux

Data Engineer, Analytics Resume Examples & Samples

Implement a new self-service data delivery capability for data scientist
Transition existing on-premise data environment to the cloud
Research and develop new data storage architectures for growing and changing data needs
Create automated ETL pipelines for a wide variety of data sources
Define and build APIs to data products commonly accessed by applications
Collaborate with data scientist, data viz experts, and business partners to understand data needs
Operate in an environment where you are encouraged to pursue the next great thing
3+ years experience with Data modeling, ETL, and data warehousing experience
2+ years Experience with Hadoop Ecosystem like Spark (Java, Scala or Python), Oozie, Hive/Impala, Structured File Formats (Avro, Parquet, etc.)
Experience implementing cloud-based solutions (Microsoft Azure preferred)
SQL development experience
Bachelor’s degree in computer science, information systems, business, or related field
Development experience with at least one NoSQL database (MongoDB, Cassandra, etc.)
Experience working with graph databases
Hands-on experience managing distributed systems and clusters
Experience using Informatica's Big Data Management suite or Power Center
Polyglot development: Capable of developing/scripting in Python, .NET (C++/C#), and/or Java (or other platform-agnostic languages) with good understanding of functional programming
Experience performance tuning
Experience using SAS
Experience supplying data to business intelligence tools such as Tableau, Cognos, Qlik

Analytics Data Engineer Resume Examples & Samples

Manage all HP.com reporting and data infrastructure (reporting datamarts, ETLs, data visualization tool management, user management)
Evaluate off-the-shelf/custom data processing packages to collect, store and transform HP’s digital data
Define new and optimize existing standard ETL routines/processes, to enable business users with relevant data feeds for timely business decisions
Build new/ enhance existing datamarts/databases, dashboards, reports, data models and scorecards on Tableau or other similar data visualization tools
Work cross-functionally with engineering and business users to define data needs, ETL and metrics
Create and maintain documentation on current environment, data locations/sources and models, ETL processes and associated code
Conduct training sessions on tools and data accessibility
Research and experiment with the latest analytics and data technologies – deliver POCs in support of new data models/tools
Collaborate with other internal and external Analytics & Engineering teams to drive continuous improvements in metrics quality and processes
Define data governance and operating model to support HP.com stakeholders within the company
BS in Computer Science or equivalent
5+ years’ full-time work experience with data management and BI tools, including setting up ETL processes, synthesizing data across multiple sources, extracting relevant information, and generating readable, understandable reports/dashboards
Experience customizing off-the-shelf products as well as custom development of tools for data collection, analysis, and reporting
Proficiency in SQL and relational databases a must
Expertise with Tableau/Power BI or similar visualization tool a must
Experience working in a cloud warehousing environment such as Amazon Redshift, Microsoft Azure, Google Vertica-on-demand, etc. required
Understanding of the Digital/eCommerce space and standard tools (Google Analytics, Adobe Analytics, etc.)
Proficiency in Python, R is preferrable

Data Engineer, Analytics Resume Examples & Samples

Collaborate with other Engineers, Data Scientists and Product Managers to understand product goals and data needs
Design, implement and deploy new data models and data processes in production
A BS, MS, or PhD degree in one of the following areas: Computer Science, Mathematics, Physics, or related technical filed
Working knowledge of Python and SQL is required
Experience in ETL framework is a plus
Knowledge of database systems

Data Engineer, Analytics Resume Examples & Samples

4+ years experience in the data warehouse space
4+ years experience in custom ETL design, implementation and maintenance
4+ years experience working with either a Map Reduce or an MPP system
4+ years experience with schema design and dimensional data modeling
4+ years experience in writing SQL statements

Advanced Analytics Data Engineer Resume Examples & Samples

SQL expertise and data modeling experience
Strong experience with Unix/LinuxETL and data movement tools experience including: DataStage and Sqoop
MapReduce experience is a plus
Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions
Able to work in teams and collaborate with others to clarify requirements

Data Engineer, Visualization Analytics Resume Examples & Samples

Provide key insights through building succinct dashboard widgets that enable customers/internal stakeholders to have an ongoing conversation with data
Build and maintain visual budgeting/forecasting models for risk, retention, and operational/cost/spend efficiency and provide regular reporting, analysis, and insights against these models
Work with digital owners to develop an effective communication strategy around the role of visual analytics in discovery of insights
Explore and examine data multiple sources in order to develop visual reporting needs to analyze trends in the KPIs as well as regular reporting for assigned customer needs
Provide technical analysis to prepare specifications for visual analytics and reporting needs – assist with QA and testing of new dashboarding/widgets
Working under the guidance of project leads, help manage team projects via task scheduling and tracking, issue management, status reporting, budget management, and stakeholder communication
Bachelor's Degree in Information Technology, Computer science or Engineering
Coursework in Data Science, Analytics, Statistics, & Business Intelligence are desired
Analytics platforms and dashboard development
Creative problem skills
Integration of dashboards into content management platforms
Demonstrated ability to learn quickly
Effective oral communication and written documentation skills
Ability to work in an iterative manner, building and refining through frequent interaction with the business customer
Excellent ability to work alongside others, quickly engaging to solve problems or further understanding
Expertise in PL/SQL, Teradata
Strong skills in SAS and/or R analytics software (mostly for data manipulation, predictive and optimization modeling) and MS Excel (many procedures be written here first and then need to be written in a higher-powered tool like SAS/R or SQL)
Strong understanding of database theory and architecture
Python coding for data transformation procedures
Experience in supply chain (production planning or demand planning)

Data Engineer, Analytics Resume Examples & Samples

BS/B.Tech./M.Tech in Computer Science, Math or related field
2+ years hands-on experience in the data warehouse space, custom ETL design, implementation and maintenance
2+ years hands-on experience in SQL or similar languages and development experience in at least one scripting language (Python preferred)
Strong data architecture, data modeling, schema design and effective project management skills
Excellent communication skills and proven experience in leading data driven projects from definition through interpretation and execution
Experience with large data sets, Hadoop, and data visualization tools a plus
Ability to initiate and drive projects, and communicate data warehouse plans to internal clients/stakeholders

Operation Data Management & Analytics Engineer Resume Examples & Samples

Develop the Strategy and provide support in the area of process data and analytics utilized through the PI the data information system, DCS information, and manual entry to provide information for operation and management of the reaction manufacturing facilities globally
Participate in the development of the Control systems strategy for the manufacturing plants with a view to the long term implantation of system control
Participate in the development of Technically Assisted Operations system to be used by manufacturing and logistics personnel connecting ERP, DCS, PI, SDS, and other available system derived information used in the operations of the facilities at the floor level using hand held or hands free technology
Contribute to the selection and development of Advanced Process Control (APC) applications
Contribute to the selection and development of Real Time Optimization (RTO) applications
Implement, integrate and deploy improvements, such as, performance monitoring tools, advanced process control schemes and dynamic simulators for operator training to ensure that the implemented solutions are sustainable
Stay up-to-date with the newest technologies and constantly evaluate their relevance and value to NALCO Champion
Generate ideas for improvement projects, including measurement of benefits and development of project cost/benefit analyses
Work closely with end users to train personnel on the effective use of the systems
Bachelor’s degree in Chemical or Electrical Engineering required
3+ years of Process Control, Advanced Process Control, Applications Development experience and process modeling
Knowledge of the PI data historian and similar products
Formalized education and / or practical hands on experience working with Distributed Control Systems (DCS), Programmable Logic Controller (PLC) systems and plant information systems is essential
No immigration sponsorship available for this opportunity
Master’s degree in Chemical or Electrical Engineering preferred
Strong hands-on experience and demonstrated ability to provide practical technical skills for design and integration of information management systems
Experience and practical knowledge in industry best practice of instrumentation, process equipment, electrical systems, measurement technology, ISA standards, field instrumentation design and application implementation in the process industry
Programming, configuration and troubleshooting on automation systems, process control systems (Major DCS & Rockwell Automation PLC’s)
Strong communications skills to be able to work with all levels within the Manufacturing environment
Must have an ability to define a plan, schedule and meet commitments for time and cost
Ability to promote change with manufacturing at all levels
Present a visible passion for the systems being developed with an ability to hear and understand the challenges of the tasks completed at the worker level
Excellent understanding of manufacturing, facility design, engineering, operations, maintenance, and reliability

Data Engineer of Digital Analytics Resume Examples & Samples

Collaborate with business, marketing, and technology teams to understand business goals, translate those goals into tracking solutions, and develop corresponding product requirements
Design and implement analytics solutions to meet data collection and reporting needs; perform quality assurance to guarantee clean data
Maintain and govern integrations across Adobe tools including Dynamic Tag Management, Reports & Analytics (Omniture), and Target
Conduct audits and troubleshoot tracking gaps to maintain data confidence and implement data standardization
Maintain detailed documentation of data collection methods and dependencies
Solid expertise with JavaScript and JS frameworks such as JQuery
Practical understanding of web standards, protocols and development libraries
Familiarity with database technologies, specifically relational databases, data warehousing, or other database query tools and languages
Strong experience in a tag management system like Adobe DTM
Exceptional analytical, quantitative, problem-solving, and critical thinking skills
Strong interpersonal and communication skills for working with various data stakeholders
BA or BS in Computer Science or equivalent experience
Experience in web analytics tracking such as Adobe Analytics (Site Catalyst and Discover) or Google Analytics
Hands-on experience with a/b testing and/or multivariate testing tools used to optimize consumer experiences
Web or app development experience

Senior Analytics Data Engineer Resume Examples & Samples

Guide projects through the process of identifying appropriate data stores and pipelines to match business strategy and objectives
Extract data and prepare for analytic modelling process
Lead the development of data ETL pipelines for multiple storage solutions, including distributed platforms such as Hadoop
Develop practical NoSQL and relational solutions to conquer scalability and distributed data processing challenges for analytic model development
Bachelor’s degree in Computer Science, Applied Mathematics or related field, Master’s degree is a plus
5+ years of Data extraction/modeling experience, including ETL experience in traditional data (MSSQL, Oracle etc) and Big data platform using Hadoop ecosystem (Spark, Hive, NiFi, Sqoop, Flume etc.)
5 + years of specific experience extracting and transforming data on large scale data processing solutions
5+ years experience in scripting languages (Perl, Python, Java etc)
5+ years experience developing with SQL and RDBMS(s), and experience in NoSQL solutions (Hbase, Cassandra, MongoDB, CouchDB etc.) and managing unstructured data
Experience working with remote and global teams
Ability to quickly understand business requirements and transform them into data models
Strong customer focus and process discipline
Proven experience ingesting, managing and visualizing high volume telemetry data, such as connected device data or manufacturing / shop floor data into a distributed computing platform

Analytics Data Engineer Resume Examples & Samples

Develop data ETL pipelines for multiple storage solutions, including distributed platforms such as Hadoop
Work with data science and analytics teams to define and implement project specific data management approaches
Bachelor’s degree in Computer Science, Applied Mathematics or related field
2 years of data extraction/modeling experience
2 years of specific experience extracting and transforming data on large scale data processing solutions
2 years of experience developing with SQL and RDBMS(s)
Curious, critical thinker that likes pushing boundaries
Excellent collaboration and negotiation skills
Ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems

Data Engineer, Advanced Analytics Resume Examples & Samples

Support data management tasks, including extracting, transforming and loading data from various systems into a SQL Server and/or an MS Access database
Develop automated and repeatable processes for extracting requested information from database systems and/or building new automated and ad hoc reports
Explore and discover new data sources, and transform raw data extract through profiling, cleaning, mapping and validation with expert resources
Present and visualize the data with the relevant use of graphs and charts in business intelligence clients (e.g. Tableau)
Document any changes in data systems, flow, relationships, and dependencies
Assess data quality, identify gaps in the data and eliminate irrelevant data
Maintain current database processes to ensure data and reporting consistency, accuracy, and integrity
Support ad-hoc requests for data analysis, summary statistics, and data mining as required by stakeholders
Bachelor’s degree in Statistics, Mathematics, Engineering, Operations Research, Computer Science, Information Technology or related fields
Proficiency in SQL, MS Access, VBA and MS Excel required
Working experience on SSIS/SSDT and SQL Server required
Experience and familiarity with relational databases, data warehouse and datamarts
Expertise in data extraction, manipulation, and reporting
Knowledge of business intelligence tools such as Tableau preferred
Knowledge of data mining and advanced analytics techniques for predictive modeling preferred
Strong organization and project management skills
Ability to effectively communicate ideas and recommendations orally and in writing, while considering the viewpoint of others

Data Engineer, Public Sector Analytics Resume Examples & Samples

BS in computer science, information systems, or closely related field; advanced degree preferred
2-5 years of hands-on experience in large scale systems integration, data warehousing and ETL tools with a strong background in normalization, physical and logical data modeling, ER diagramming, advanced SQL and performance tuning
Advanced SQL experience and proficiency in Big Data technologies (Hadoop / Spark / NoSQL DBs)
Data security & governance expertise, preferably in a highly regulated environment (ie government, healthcare)
Comprehension of code in analytics language (Python / Scala / Java / R), with interest in learning more

Analytics Data Engineer Resume Examples & Samples

Responsible for development, and support of Big Data solutions, APIs, tools, and processes to enable rapid delivery
Act as a technical expert addressing problems related to system and application design, performance, integration, security, etc
Bachelor's Degree / Masters is a plus but not required
7+ years' experience in information technology and/or IT professional services
3+ years of hands-on big data technology experience
Certification with one of the Hadoop distribution - Cloudera, MapR, Hotonworks
Prior experience with Big Data ETL tools like Informatica BDM, Talend
Prior experience with Spark ingestion/ compute
Strong writing and client facing communications with the ability to effectively develop and maintain client relationships
Excellent analytical and problem solving abilities
Able to think and act strategically
Action oriented and able to prioritize while handling multiple tasks