Data Engineering Resume Sample

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Thea McGlynn
6206 Zulauf Villages,  Chicago,  IL
+1 (555) 401 5792

Work Experience


Director, Data Engineering
08/2016 - PRESENT
Detroit, MI
  • Create a consistent, reliable, highly available data platform on which analysts can easily derive insight to power business decision making, facilitate ecommerce optimisation and identify new customer and product opportunities
  • Develop and execute the company’s best practice, data governance and data strategy in order to create a culture of data-led decision making
  • Build and lead a team of best-in-class data scientists and data engineers in the MIS (Data Warehouse, Web Analytics) function
  • Ensure company is using state-of-the art technology end-to-end; from ETL and data pipelines, to analysis, algorithms and visualisation
  • Effective at writing and implementing comprehensive test cases to qualify metric output
  • Comfortable dealing with ambiguity and making headway in the face of uncertainty
  • Strong written communication skills and ability to write well structured documentation
  • Proven ability to work with non-technical users to explain technical functions and/or business requirements
Data Engineering
09/2010 - 03/2016
Boston, MA
  • Build a high quality Data Lakes and Data Warehousing team and design the team to scale. Build cross functional relationships with Data analysts, Product owners and Engineers to understand data needs and deliver on those needs
  • Hires qualified and desirable talent and provides technical guidance, career development, and mentoring to team members. Participates in key technical and design discussions with technical leads in the team as a hands-on manager. Partners with key business stakeholders to prioritize work and create amazing products to support our data platform
  • Help develop and drive a technical roadmap which incorporates technology and systems that build towards the strategic direction of the organization
  • Identify and manage “proof of concepts” for emerging technologies solutions to improve business KPI’s
  • Demonstrable experience in managing co-located teams, remote teams, and outside contractors or firms
  • Experience with third party technologies and platforms, from sourcing, negotiating, and retaining outside vendors to curate or acquire needed expertise
  • Passion for leading data engineering and data product development team
  • Understanding across the full stack – including Java, Ruby/Rails, JavaScript, Node.js, HTML5, Git, REST APIs, Spark, Kafka, Storm, Couchbase, Elasticsearch, Hadoop HDFS, HBase
  • Demonstrated experience in building strong partnerships and relationships across large organizations to deliver results and enable success for all
Data Engineering Intern
10/2003 - 07/2010
Philadelphia, PA
  • Work in a fast pace environment and manage competing priorities
  • Passionate, organized, smart, engaging, driven and technically savvy
  • Able to establish mutual respect and a collaborative working relationship with their peers and team
  • Set a very high bar and stretch goals, clearly communicate those goals and then infuse and inspire the team with a sense of purpose and urgency in attainment of those goals
  • Excellent interpersonal and communication skills with all kinds of people at all levels inside and outside the organization
  • Work through conflict, gain trust and persuasively influence outcomes
  • Address tactical issues in the short-term while maintaining strategic vision for the long-term
  • Technically experienced and able to lead the architecture of the platform, as well as garner the respect of the team and the technology community
  • Defines the processes needed to achieve operational excellence in all areas, including project management and system reliability

Education


Walla Walla University
1999 - 2003
Engineer's Degree in Computer Science

Professional Skills


  • Project management skills, Systems integration skills and Database Administrator skills
  • Excellent interpersonal skills; superior written communication skills; a detailed understanding of the documentation requirements related to data normalization
  • Excellent communication and presentation skills, with experience interfacing and influencing executive leadership
  • Strong verbal and written communications skills with experience in relating complex concepts to non-technical users
  • Demonstrated leadership skills in coaching, managing and mentoring staff
  • Excellent verbal and written communication skills, including public speaking or presenting to groups of people
  • Proven working experience as an IT manager and ability to communicate effectively to partners within the business, end users, and staff

How to write Data Engineering Resume

Data Engineering role is responsible for business, technical, analysis, advanced, development, sql, database, integration, solutions, leadership.
To write great resume for data engineering job, your resume must include:

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

Contact Information For Data Engineering Resume

The section contact information is important in your data engineering 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 Engineering Resume

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

Representative Data Engineering resume experience can include:

  • Our goal is to liberate, mine, and augment our enormous amount of data into functional, actionable products and services that cut across many organizational divisions
  • Analytics - Responsible for development and management of scalable data processing platforms that he uses for exploratory data analysis and real-time analytics. Oversee, design, and develop algorithms for real-time data processing within the business and to create the frameworks that enable quick and efficient data acquisition
  • Experience of leading a group of developers with a range of skills and abilities
  • Excellent communication & problem solving skills, ability to translate business problems to technical solutions
  • Multi-task and prioritize effectively in a fast paced environment
  • Coaching, mentoring, constructive feedback and influencing skills

Education on a Data Engineering Resume

Make sure to make education a priority on your data engineering resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data engineering 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 Engineering Resume

When listing skills on your data engineering 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 engineering skills:

  • Strong interpersonal and communication skills with demonstrated experience of working with business organizations
  • Strong analytical skills with excellent knowledge of Oracle, SQL, and PL/SQL
  • Strong organizational skills, ability to assess and prioritize business demands
  • Good problem solving skills, acceptance of responsibility and good work ethic
  • Experience managing and leading a data engineering team, with prior experience and successful track record in a data engineering capacity
  • Excellent communication, exceptional analytical and critical thinking/problem solving skills are essential

List of Typical Experience For a Data Engineering Resume

1

Experience For Director, Data Engineering Resume

  • Prior experience with data analysis or having worked on projects using large data sets and ability to create data into actionable insights
  • Handle multiple tasks, meet reporting deadlines, and demonstrate the ability to prioritize the workload
  • Great leadership skills. Very proactive. Outstanding drive towards results. Ability to get things done
  • Prior Experience/Coursework/Academic Projects using SQL (Structured Query Language) or Data Analytics (like Tableau)
  • Data architecting skills
2

Experience For Data Engineering Manager Resume

  • Communication and leadership experience, with experience initiating and driving projects
  • Technical Skills: Python, R, Tableau,SQL
  • Ongoing development and refinement of framework for enhancing the customer experience through the data mapping process
  • Understanding of database concepts and distributed processing systems, strong command of SQL
  • Experience leading and managing technical teams in data and agile engineering best practices
  • Experience in developing, auditing, and documenting attributes within a credit domain
3

Experience For Data Engineering Lead Resume

  • Proven track record of developing, scaling and implementing data platforms and solutions
  • Experience of using scripting languages such as Python, R or Ruby to automate processes
  • Recent experience of working within Big Data ecosystems using tools like Hadoop, Spark, or Presto
  • Solid understanding of data warehousing principles and its implementation in complex environments
  • Experience with various testing methodologies and user acceptance testing
4

Experience For Data Engineering Intern Resume

  • Lead a team of BI Engineers and Data Engineers to build a solid data infrastructure, underpinning enterprise scale BI analytics and reporting platforms
  • Work with BI Engineers and Data Engineers to build a solid data infrastructure, underpinning enterprise scale BI analytics and reporting platforms
  • Typically requires 3-5 years of data engineering, data science or software engineering experience
  • Strong knowledge in different big data programming or scripting languages
  • Interface with manufacturing and supply chain teams to prioritize engineering changes and data setup based on production schedule
5

Experience For Data Engineering Specialist Resume

  • Experience using and developing with Databases(PostgreSQL or MySQL), replication and high availability
  • Experience guiding and managing a team of practitioners to execute analytics solutions, both onshore and offshore
  • Experience in using distributed data processing solutions (e.g. Hadoop or NOSQL)
  • Experience with programming and understanding of basic algorithms
  • Strong understanding of and proficiency in database modeling and database technologies (RDBMS / NoSQL)
  • SQL knowledge and experience working with relational databases, query authoring, and optimization
  • Demonstrates specialized knowledge in most aspects of designing and constructing enterprise architectures
  • Collaborates with the team toimprove the effectiveness of business decisions through the use of data and machine learning/predictive modeling
  • Experience building data models, infrastructure and ETL pipelines for reporting, analytics and data science
6

Experience For Senior Director, Data Engineering Resume

  • Experience working in different programming languages (SQL, PLSQL, Scala, Java, python, Javascript, etc…)
  • Strong understanding of Data Science as a discipline including data needs and data utilization patterns
  • Experience creating and analyzing large data sets
  • Experience leading a team of engineers as it relates to data engineering
  • Experience with UNIX/Linux including basic commands and shell scripting
7

Experience For Head of Data Engineering Resume

  • Experience in data ingestions techniques for batch and stream processing using AWS Batch, AWS Kinesis, AWS Data Pipeline
  • Demonstrated strength in SQL, data modeling, ETL development, and data warehousing
  • Experience overseeing the data stream of multiple projects including client deployment, integration & migration
  • Strong understanding of data-warehousing and data lake concepts
  • Experience with at least one of scripting languages(e.g., UNIX Shell scripting, Python, Perl, Ruby)
  • Strong understanding of UNIX shell, Perl, Java or python scripting
  • Experience with managing and leading a team
  • Excellent leader comfortable with change, building a business and driving outcomes
8

Experience For Senior ITS Developer Data Engineering Resume

  • Build and lead a high performance team through effective hiring, coaching, and growth & development
  • Experience overseeing the data stream of multiple projects including deployments, integration and migration efforts
  • Data Engineering development experience using Java, Scala or Python
  • Linux development or system administration experience, including Python or BASH scripting
  • Experience of managing a data engineering team
  • Experience with solution building and architecting with public cloud offerings such as Amazon Web Services, Redshift, S3, EMR/Spark/Hive, Presto/Athena
  • Experience developing web applications (Spring, RESTful, Jersey, RestEasy, JAX-WS, Web Services)
9

Experience For Manager of Data Engineering Resume

  • Demonstrate deep understanding of core business challenges unique to the luxury fashion retail industry
  • Collaborate with project team members to write prioritized business requirements documentation, including scope definition and statement of work
  • Experience of working with RESTful APIs and other HTTP services
  • Practical experience working in a Business Analyst or a Data Content/Analytics Subject Matter Expert role
  • Experience working with any of the commercial distributions of Hadoop (Hortonworks, Cloudera, MapR, etc.)
10

Experience For Data Engineering Internship Resume

  • Experience in managing a team of 5-10 engineers
  • Experience partnering with a technical leadership team
  • Experience delivering Java/C#/Python software products in the form of a service and/or SDK
  • Experience with data technologies such as Map Reduce, Spark, Spark Streaming, Hadoop, and distributed datastores
  • Implement machine learning and artificial intelligence models to improve conversion rates and campaign effectiveness
  • Demonstrate and clearly articulate reasoning for design and implementation choices

List of Typical Skills For a Data Engineering Resume

1

Skills For Director, Data Engineering Resume

  • Excellent communication skills, capable of explaining data pipelines to both technical and non-technical audiences
  • Strong organization skills in coping with various threads and deadlines
  • Good Database programming skills and SQL – Sybase preferable
  • Excellent PC skills; including Excel, Visio, Word and Project
  • Systematically strong analytic and quantitative analysis skills
  • Demonstrate a passion to both learn new skills and lead discovery of the data research
  • Strong analytic skills related to working with structured and unstructured datasets are required
  • Proven ability to choose and effectively utilize data wrangling technologies
2

Skills For Data Engineering Manager Resume

  • Self-starter with the good written and verbal communication skills to collaborate with others to achieve team-based outcomes
  • Excellent communication skills and senior stakeholder management
  • Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress
  • Programming skills such as Java, Scala, Ruby, C++ or Python
  • Practical experience with data warehousing architecture and implementation, including hands on experience developing ETL integrations
3

Skills For Data Engineering Lead Resume

  • Solid understanding and experience building RESTful APIs and micro services, e.g. with Flask
  • Proven experience building and leading global high-performance technical teams
  • Proven experience in building ETL processes leveraging big data technologies
  • Constantly improving your knowledge and skills in both development and programming methodologies
  • Experience working in Big Data and cloud architecture including Amazon Web Services is good to have
  • Experience processing large amounts of structured and unstructured data in a cluster-computing environment or similar experience in academia
  • Industry experience or 1 year of consulting experience focused on data engineering or related areas
  • In data engineering, data analysis, business intelligence/data warehousing experience or related experience
  • Demonstrated experience in delivering data and analytic solutions leveraging AWS, Azure or similar cloud data lake
4

Skills For Data Engineering Intern Resume

  • Demonstrated experience in data architecture and data modeling using methodologies such as Kimball, Inmon and Data Vault
  • Strong experience working hands-on with big data analytic systems
  • Experience in data management, including SQL experience, ideally in a large scale, high volume, data warehouse environment, e.g. Amazon Redshift, Teradata
  • Job scheduler tools: preferably Autosys experience but any scheduling tool experience could suffice
  • Engineering management experience preferably with Internet-scale experience
  • Exceptional analytical and quantitative problem solving skills
  • Experience thinking ‘outside the box’; open to new ideas and exhibits a strong analytical mind
  • Comfort with and competence in effectively communicating with ‘C’ level executives
5

Skills For Data Engineering Specialist Resume

  • Data querying/general data analysis skills
  • Demonstrated experience leading a team to completion of project deliverables
  • Proven experience in software development projects with Java Spring, Docker, Git, Maven/Gradle and/or Jenkins
  • Good to have experience working on AWS stack
  • Strong knowledge and experience in scripting languages such as Python, Perl or Shell
6

Skills For Senior Director, Data Engineering Resume

  • Proven professional experience leading IT teams within life sciences, bioinformatics, biochemistry, genetics, biology, or a related discipline
  • Prior experience with engaging offshore teams
  • Skills in Hadoop, SQL, Python, C++, Java and other languages used in data manipulation
  • Experience with Unix/Linux systems with scripting experience in Shell, Perl or Python
  • Experienced in high volume data warehousing (20TB ), experience in MPP RDBMS technologies like Vertica, Teradata, Netezza etc
  • Strong coding experience necessary in SQL, Python or equivalent
  • Solid understanding and hands on experience with SQL, especially in the area of data aggregation
  • Proven ability to interface and coordinate with diverse cross-functional teams and prioritize across departments
7

Skills For Head of Data Engineering Resume

  • Communication skills and ability to communicate at all levels and with content that is appropriate to the audience
  • Demonstrated leadership experience in a complex, matrixed global organization
  • Experienced technology lead with extensive experience with Information Architecture, Data Management, Data Security, Data Quality, Data Governance
  • Proven experience working with emerging data centric technologies such as data
  • Working knowledge of and experience using a variety of CMS tools
  • Programming experience with Python
  • Working closely with Product teams to prioritize and set delivery schedule
  • Dealing with Ambiguity – Expert ability to make good decisions and act with incomplete information
8

Skills For Senior ITS Developer Data Engineering Resume

  • Working experience with Big Data technologies and concepts on a Hadoop platform (e.g. Scoop, Hive, Pig, NoSQL, etc…)
  • Developing wireframes to demonstrate report design concepts
  • Experience in mentoring and managing other Data Engineers, ensuring data engineering best practices are being followed
  • Experience mentoring and managing other Data Engineers, ensuring data engineering best practices are being followed
  • Strong Coding/development abilities in the field of data manipulation, data warehousing and ETL and scripting programming languages such as Python
9

Skills For Manager of Data Engineering Resume

  • Experience building and leading a growing data engineering function for cloud products
  • Major in Computer Science, Information Systems, Computer Engineering, Statistics, or related engineering fields with computer programming experience
  • Solid background in developing and driving key strategic product roadmaps including budgetary control
  • Experience building and managing multi petabyte scale, robust big data platforms using Hadoop, Kafka among other tools
  • Experience designing, developing and supporting a data warehouse environment
  • Experience working with cloud technology engineering, or working knowledge of GovCloud and C2S architectures and capabilities
  • Experience generating standard architectural products using data modeling tools
  • Strong understanding of scaling, performance, and scheduling
10

Skills For Data Engineering Internship Resume

  • Demonstrated interest in data mining, large-scale data modeling and business requirements gathering
  • Experience designing, developing, and implementing ETL
  • Good understanding of Data Warehousing concepts and exposure to Dimensional modeling techniques
  • Strong knowledge of machine learning, data mining, and predictive modeling
  • Experience in maintaining data warehouse systems and working with large scale data transformations using Hadoop, Hive, Spark, or other Big Data technologies
  • Experience in maintaining data warehouse systems and working on large scale data transformation using Hadoop, Hive, or other Big Data technologies
  • Experience with hardware provisioning, forecasting hardware usage, and managing to a budget
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Experience with large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, DynamoDB, Kinesis, Lambda, S3, EC2, etc

List of Typical Responsibilities For a Data Engineering Resume

1

Responsibilities For Director, Data Engineering Resume

  • Strong communication skills required (orally and written)
  • Good knowledge and hands on experience with Hadoop based distributed storage and computing framework
  • Contributes to a motivated work environment by working effectively to achieve common goals; solutions consulting and decision support
  • Strong Experience in Big Data Technologies like Hadoop, MapReduce, Kafka, HBase, Cassandra, Hive, Presto und Spark
  • Strong Experience in SQL- und NoSQL-databases
2

Responsibilities For Data Engineering Manager Resume

  • Effectively communicate project status to customers of all levels, across a variety of cross functional areas
  • Experience with Linux systems with scripting experience
  • Expert problem solving, analytical, and organizational skills
  • Solid experience on large scale Vmware infrastructure with Multi-tier networks and Storage
  • Strong experience with Azure IaaS
  • Strong Hands on experience in PowerShell
  • Experience in an advanced analytics/engineering or consulting role or similar experience in academia
3

Responsibilities For Data Engineering Lead Resume

  • More than 8 years of experience in IBM’s IPS (IAA) and or IIW models (desired) or similar modeling framework experience
  • Experience in SQL or similar languages and development experience in at least one scripting language (Python, Perl, Rhapsody,etc.)
  • Proven project experience in data visualizations in SAS VA, d3.js, Tableau, Power BI or similar
  • Programming experience, ideally in Python, R, or Java
  • Experience required managing or leading the delivery of enterprise data warehouse solutions
  • Experience in managing and leading projects
  • Experience in managing a data engineering team
  • Extensive experience with designing & developing high quality big data solutions
4

Responsibilities For Data Engineering Intern Resume

  • Experience supporting and working with cross-functional teams in a fast paced environment
  • Management experience on leading software engineering team to deliver and support production quality applications
  • Experience overseeing the data stream of multiple projects including client deployments, integration and migration efforts
  • Experience working in cloud architecture including AWS or Azure environments
  • Experience accessing and retrieving data from disparate large data sources
  • Experience with data modeling, data warehousing tools and databases (e.g. Python, Hadoop, SAS, ETL, Big Data, ORACLE, and Hive)
  • Data engineering, data architecture, systems engineering, systems integration, or systems development experience
  • Experience developing and leading IT organizations
  • Experience in data engineering and data warehousing
5

Responsibilities For Data Engineering Specialist Resume

  • Experience in data engineering and data warehousing
  • Drive the vision and engineering for all initiatives around data warehousing across consumer experiences
  • Experience working with SQL, large data sets, data analysis and BI tools is required
  • Strong knowledge of data modeling and database design for operational as well as analytical systems
  • Strong familiarity with data warehousing environments, specifically Teradata, Hadoop, Oracle, SAS, and SQL Server
  • Provides technical documentation/data mapping and most recent query to CX (Customer Experience) team to ensure current execution is collectively understood
  • Advanced experience using the Microsoft BI stack (SSRS, SSAS, SSIS) across several versions
  • Thoroughly validate data pipeline using historical reference data and reports
6

Responsibilities For Senior Director, Data Engineering Resume

  • Influences staff through effective listening and communication to accomplish operational objectives
  • Be financially due diligent and operate within the budgetary parameters
  • Ecommerce experience would be an advantage
  • Effective management of the implementation of new ideas/improvements
  • A strong desire to learn new techniques and processes
  • Maintain and develop effective relationships through regular one-on-ones and short & long term personal and development programs
  • Troubleshoot architectural and technology issues within the team to determine effective solutions
  • Experience of various database technologies such as SQL, NoSQL and related query languages
7

Responsibilities For Head of Data Engineering Resume

  • Be a team mentor, lead by example, and build trust and solid relationships
  • Manage own workload; determine appropriate priorities, and provide timely and accurate distribution of standard and custom reports
  • Programming experience in python or equivalent, knowledge of coding best practices
  • Experience in all phases of software development life cycles
  • ETL experience with traditional tools such as Data Stage or the equivalent needed
  • Build strong relationships and communities with engineering, stewardship, strategy teams to support asset investment and development
  • Experience designing transactional/data warehouse/data lake and data integrations with MPP database, big data eco system
8

Responsibilities For Senior ITS Developer Data Engineering Resume

  • Experiences in building REST API's und Microservices Architectures
  • Experience with data modeling, data governance and data standardization
  • Strong capabilities to communicate clearly both in writing and presentations in Thai and English
  • Interactive reporting experience/interest (tableau, domo, qlik)
  • Experience with large scale spikes in traffic
  • Experience with development frameworks as well as data and integration technologies such as Informatica, Python, Scala
  • Collaborates with leaders across various disciplines to understand and prioritize data needs
9

Responsibilities For Manager of Data Engineering Resume

  • Experience to tools & Infrastructure such as Jenkins, GITHUB, Eclipse
  • Frequent consultation with business users to understand business processes, measure effectiveness, facilitate change and understand challenges
  • Provide rapid response to business users leverage technical experience, tool expertise and system arcitecture
  • Experience with Hadoop, PySpark, Hive, Kafka, Scala, Hive, Impala etc
  • Strong passion and ability to ask relevant business questions to leverag the insurance business exectutive users and external data
  • Experience in C, Java, or Scala
  • Proven ability to hire exceptional talent
10

Responsibilities For Data Engineering Internship Resume

  • Experience with BI concepts and practices
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets is required
  • Strong knowledge of dimensional database structure
  • Experience with integrations in a cloud environment (AWS, Google Cloud, Azure)
  • Experience with an integration platform software such as MuleSoft
  • A quick learner with strong work ethic

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