Data Infrastructure Resume Sample
Work Experience
- Setup all items on strategic Third Party Ecommerce sites with a focus on speed and accuracy
- Keep accountability of product data through active management of various product databases
- Conduct regular content audits, make edits when necessary, and ensure a fluid online customer experience, optimized for digital effectiveness
- Enhance product listings with relevant A+ content while also following SEO principles
- Perform deep dive analysis on effectiveness of enhanced product content
- Develop repeatable and scalable processes to ingrain findings / recommendations into the fabric of how we show up online
- Ensure all new product launches are setup for success based on the go to market launch checklist
- Work with sales, marketing, and merchandising to close any content gaps
- Lead modeling data capture, gathering, Master'sing and maintenance in support of modeling databases, in collaboration with platform resources
- Manage model-supporting data warehouses in terms of accuracy and completeness; understand data and process structures from System-of-Record to Data warehouse to ensure accuracy and precision of data used for modeling, reporting and analysis
- Produce management-level dashboards, ad hoc reporting and analysis identify areas of data quality improvement and resolve data issues via appropriate use of process improvement tools such a s Six Sigma (error detection, process design & control strategies)
- Liaise with broader portfolio team, business platforms and functions to establish data definitions, and determine relevant reliable sources of data
- Focus on business context, data flow and infrastructure optimization to ensure strategic alignment of data to core business needs
- Guide platforms through the process of default and loss data capture
- Create and maintain GE Capital-[business]-wide default and loss data warehousing capability
- Be the go-to expert on site content requirements and maintain a library of best practices
- Cross business exposure in all Countries within the EMEA Region
- Operational experience in a multi-business/product environment
- Indirect management responsibility for staff throughout the EMEA region
- Networking and interaction with senior managers across technology, the business and procurement, both regionally and globally
- Exposure to Project Management, Network and Voice Engineering and operations, Business reporting and administration, financial accounting and analysis
- Provide strategic oversight and direction for the "next generation" data platform
Education
Professional Skills
- Programming skills in at least one scripting language (e.g. Python) and experience with one data visualization platform (e.g. Qlikview, Tableau, etc.)
- Experience with UNIX systems administration including solid scripting skills in Shell and Python
- Providing ongoing support and training to improve the data engineering and analysis skills of team members within Internal Audit
- Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources
- Articulate and manage personal development goals, including time management, project management, stakeholder management and technical skills
- Establishing a knowledge base to enable auditors and data analysts to effectively interpret and leverage the collected data
- Experience in building and maintaining large scale production data infrastructure
How to write Data Infrastructure Resume
Data Infrastructure role is responsible for training, database, finance, architecture, analysis, reporting, modeling, insurance, engineering, software.
To write great resume for data infrastructure job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Infrastructure Resume
The section contact information is important in your data infrastructure 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 Infrastructure Resume
The section work experience is an essential part of your data infrastructure 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 infrastructure 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 infrastructure position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Infrastructure resume experience can include:
- Lead team of DBA’s providing third level database engineering support, third level ERP / Corporate Application Administration, and physical database architecture support
- Strong prioritization skills and ability to manage multiple tasks simultaneously
- Strong communication skills and ability to influence decisions across levels
- Strong hands-on experience with SQL and database design and development (e.g. in MS SQL or Oracle), with experience on cloud platforms (e.g. AWS) advantageous
- Develop your own skills and constantly push things forward
- Proven ability to articulate long-term strategies and help shaping the product roadmap
Education on a Data Infrastructure Resume
Make sure to make education a priority on your data infrastructure resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data infrastructure 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 Infrastructure Resume
When listing skills on your data infrastructure 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 infrastructure skills:
- Experience with data warehousing and database management systems (SQL)
- Experience designing data models and data warehouses
- Experience working on large data-centric systems
- Experience with infrastructure provisioning and orchestration tools: Terraform, Ansible or Salt etc
- Experience with Unix or GNU/Linux systems and knowledge of command line utilities
- Experience with Hadoop and equivalent infrastructure implementation technology
List of Typical Experience For a Data Infrastructure Resume
Experience For Data Infrastructure Analyst Resume
- Maintain deployed data pipelines and diagnose issues using command-line and web-based tools
- Create the tools and infrastructure leveraged by the rest of engineering
- Work with batch and stream processing systems that crunch multiple petabytes of data
- Build and maintain the entire data ingestion pipeline that ingests tens of terabytes per day, converting raw bits into queryable data
- Data Governance Support - Data Infrastructure and Metrics
Experience For Data Infrastructure Engineer Resume
- Build and maintain knowledge of Merchandise’s metric definition details, data sources, and systems
- Provide special data pulls / views, data integrity checks, data forensics, and analysis
- Provide analysis in support of global alignment as appropriate
- Enterprise Data Warehouse Support - Data Infrastructure and Metrics
- Apply logical thinking to a wide range of practical problems – including experience using the scientific method to break down a complex problem or tasks into incremental steps/tests and perform root cause analysis
Experience For Actuarial Data & Infrastructure Resume
- Writing and maintaining cloud automation software and internal tools to support developers deploying, running, and monitoring Lyft services in a distributed environment
- Creating processes to automatically extract, transform, and load (ETL) large datasets on a regular basis from key structured and unstructured data sources for use by Internal Audit, working closely with IT and various stakeholders across the Asia-Pacific region
- Designing and optimizing the Audit Data Warehouse and data pipelines to maintain scalability
- Fluency in Japanese, and business-level English (TOEIC approx. 750+)
- Good communication and interpersonal skills required, with the ability to influence internal and external stakeholders towards implementing better data infrastructure and analytics practices
Experience For Data Infrastructure Manager Resume
- Strong ethics and ability to maintain the confidentiality of information and identities
- Experience within the insurance industry, especially from a risk/regulatory perspective, would be highly advantageous but not essential
- Experience with the development of resilient and distributed services, across many geographical areas with stringent performance and availability requirements
- Concurrently work on multiple projects and participate in assignments in a start-up environment
- Experience with the following technologies: Go, Java, C/++; Hadoop-related technologies (HDFS, Spark, Hive); Kafka/Zookeeper; Internal networking; Linux internals; Hashicorp tools (Terraform, Packer, Consul, Vault, Nomad); MongoDB; Cassandra
- Design, develop and support data warehouses, dashboards, and reporting tools for product support data
- Write extract, transform, and loads (ETL) to automate routine data collection and reporting processes using a variety of traditional as well as large-scale distributed data systems
Experience For Big Data Infrastructure Developer Resume
- Build new ETL processing pipelines using SQL
- Collaborate with stakeholders and support engineers to ensure our data infrastructure meets constantly evolving requirements
- Write and review technical documents, including design, development, and revision documents
- Develop new ETL libraries in Python and contribute to documentation
- Manage the availability, scalability and performance of data platforms
- Provide support for analytics tools used by data scientists and business analysts
- Dig into kernel-level issues to debug potential problems
List of Typical Skills For a Data Infrastructure Resume
Skills For Data Infrastructure Analyst Resume
- Competitive Salary, Flexible Paid Time Off, Commuter Benefits, Medical, Dental, Vision, & Pet Insurance, Employee Assistance Program, 401k Retirement Savings, Flexible Spending Accounts, Gym Partnership Discounts, Catered Meals, Fully-Stocked Kitchens, and much more!
- Optimize, maintain, and evolve a large, complex product catalog for the third party e-commerce team, which includes ownership of item set-ups, and coordination of data edits with cross-functional and external partners
- Prior position in technical lead role with team greater than 5
- Experience with Big Data related open source projects: Apache Kafka, Apache Spark, Druid, Apache Zookeeper, Apache Hadoop, Apache Airflow
- Experience in Google Cloud Platform
- Experience with data acquisition and solutions delivery in a Japanese-speaking environment
- BS/MS in computer science (or equivalent) with 5+ years of software engineering experience
- Anticipating, identifying, and escalating issues impacting agreed delivery timelines and budget
- Developing dashboards to enable auditors to recognize trends and highlight potential areas of concern
Skills For Data Infrastructure Engineer Resume
- Understanding of infrastructure systems and architecture and ability to explain the strengths and weaknesses of a particular solution over another
- Developing and maintaining the platform that runs all of Lyft’s data services
- Performs testing and supporting data analysis on portfolio projects with impacts to data and reporting
- Foster positive and enduring relationship with key stakeholders within the GWM and stakeholder teams (GMV, GRID, Lending Services, Risk Systems)
- Solutions that enhances wholesale modelling data and systems, including both tactical and strategic solutions
- Be a “high level thinker” looking at the larger picture and bring new innovations and development approaches to the organization
Skills For Actuarial Data & Infrastructure Resume
- Comfortable working as a one-stop shop for data infrastructure while collaborating with auditors and data analysts to define requirements
- Be a part of transitioning Spotify to the next generation data platform
- Take an active part in the operation rotations that keep our infrastructure up and running
- Looks forward to teaming up with business partners to answer questions
- Gets upset when data is incorrect or is being abused
- Is not afraid of challenging the status quo
- Establish relationships with wider Business Units, including Risk, Business and Finance
- Conduct ad-hoc analysis, including data analysis, model analytics and infrastructure investigations
- Ensure communicated Service Levels are achieved or exceeded. Perform timely corrective action where circumstances hinder meeting the service level standards
Skills For Data Infrastructure Manager Resume
- Manage escalations by taking appropriate and timely actions
- Ensure ANZ's core values are always maintained in dealing with staff, colleagues and customers
- Completion of mandatory training (i.e. Risk essentials)
- Follows through to ensure customers’ needs are met, liaising with other Risk Regional Hubs teams and other parts of the Banks as needed
- Simplify and standardize practices: Ensuring our processes are globally consistent, reconcilable, explainable and relevant. Includes
- Establish a cross-functional roadmap with key account partners to advance UA catalog accuracy
- Develop specific medium-term, action plans to realize this roadmap
Skills For Big Data Infrastructure Developer Resume
- Manage Group Wholesale Modelling related data infrastructure, including general maintenance, remediation of immediate system deficiencies and tactical system upgrades
- Monitor GWCM infrastructure usage, ensuring it is fit for purpose, being used as intended and optimised for the functions it is used for
- Provide input and subject matter expertise on data and infrastructure related solutions to optimise return on investment and maximise the productivity of ERWM resources
- Ensure that GWCM data infrastructure related processes, including ongoing maintenance activities, are fully documented, reliable, accurate, verified, and sufficient to give internal and external stakeholders a high level of confidence as to the integrity of GWM outputs
- Design, build, scale, and evolve our data platform, services and tooling
- Expert level proficiency in Microsoft Excel, Microsoft Access, SQL and/or other relational database tools
- One of Europe’s largest Hadoop clusters, with ~2,000 nodes
- Engage with the data community at Spotify about its use of the data platform
Skills For Engineering Lead, Data Infrastructure Resume
- Be an active contributor to Free Software projects in the Big Data field
- Considerable/Expert understanding of all aspects of Default Management loan workout and loan servicing support functions along with the associated operational policies and practices
- Has seven or more years of experience backed up with education
- Microsoft Office Suite (including PowerPoint, Excel, Word)
- Familiarity with (or willingness to learn) Microsoft Access
- Really, really wants to know why
- Strives to make data driven decisions
- Can clearly explain how linear regression works
Skills For Data & Infrastructure Intern Resume
- Has an opinion on whether or not CTEs make SQL easier to read
- Finds places to use a new (to them) window function
- Assist in the management of GWM related infrastructure, including general maintenance, remediation of immediate system deficiencies, tactical system upgrades and strategic solution implementation
- Provide input and subject matter expertise on data and infrastructure related solutions to optimise return on investment and maximise the productivity of GWM
- Assist in documentation of processes and policies in relation to GWM data and infrastructure
Skills For Senior Analyst Modeling Data & Infrastructure Resume
- Help to monitor and improve the accuracy, integrity and efficiency of data utilised by GWM
- Ensure expectations of stakeholders are understood and managed at all times
- Manage data preparation activities for new model developments, as directed by the Data Infrastructure Lead
- Ensure compliance with relevant internal and external compliance standards
- Complete all relevant Internal Checks on time
- Ensure that all incidents raised are logged in the appropriate systems within required timeframes and mitigation action taken
- Demonstrated technical experience with data management, cloud platforms including virtualization, monitoring, provisioning/deployment technologies with experience
- Agile, proactive and comfortable in working with ambiguous specifications and ability to adapt and drive rapid changes in product direction
Skills For Distinguished Engr-data Infrastructure Resume
- Excellent prioritization skills in the face of competing business demands, particularly in balancing short-term tactical and operational projects with delivering on a longer-term vision
- Plays an important role in partnering with IT to build out the EDW (Enterprise Data Warehouse) – the main repository of data and metrics
- Performs UAT testing and data analysis for new EDW platform
- Business Data Support - Reporting and Measurement
- Monitors Service Call progress and resolution. Ongoing partnership and communication with support teams to insure data integrity
Skills For Mortgage Servicing Data Infrastructure Manager Resume
- Provide any highly specialized reporting in support of special requests
- Support the migration any regular reporting into MicroStrategy
- Work as a part of the data engineering team to continuously improve our data pipeline and infrastructure
- Work together with the Technical Operations team to make sure everything integrates seamlessly with the production environment
- Write clear design specs, mentor senior and junior engineers and guide projects from beginning to end
- Handle ambiguity in terms defining technical and business problems
- Quickly gain the technical and leadership respect of your team and peers
- Excellent oral and written communication skills as well as receptive listening skills, with the ability to tailor complex ideas in a clear, concise fashion to various levels of technical and non-technical management