BIG DATA RESUME EXAMPLE

Published: May 26, 2025 – The Big Data refers to extremely large datasets that are too complex to be processed by traditional data management tools. This position enables organizations to uncover hidden patterns, correlations, and insights for informed decision-making. This role requires advanced technologies such as machine learning and cloud computing are often used to analyze and manage Big Data efficiently.

Tips for Big Data Skills and Responsibilities on a Resume

1. Big Data Architect, Nexora Tech Solutions, Fremont, CA

Job Summary:
  • Lead the design, build and test of the product development for one or more scum teams
  • Provide guidance and mentor the team on the development standards and methods
  • Identifies dependencies across scrum teams and solves conflicts
  • Provide though leadership in areas of design and solution for the given requirements, and impacts of changing requirements
  • Own technical design for more complex areas
  • Review and approve design and code
  • Ensure the solution designed and built is supportable as part of a DevOps model
  • Work with Scrum Master/Business Analyst to define the product backlog based on given requirements
  • Work with the Scrum Master and Product Owner on bi-weekly sprint planning
  • Perform integration development to move data from production systems to CDP using patterns and standards by CDP team
  • Perform data transformation, harmonization
  • Deliver high quality solutions with no defects
  • Provide necessary technical support through all phases of testing and incident handling after deployment.
  • Use technical expertise and knowledge of architecture to benchmark with third party organizations to identify and incorporate best practices into the overall architecture strategy
  • Proactively appraise and modify current architecture to identify deficiencies, research alternatives, and determine improvements
  • Manage and review architecture solutions, ensuring they are aligned to Enterprise Architecture (EA) standards, quality and principles, as well as meet EA guidelines, common solutions and services are leveraged and that they meet financial targets (cost and benefits).
  • Participate in Solution Architecture Reviews as the primary mechanism of architecture quality and compliance assurance.

Skills on Resume: 
  • Technical Leadership (Soft Skills)
  • Scrum Expertise (Hard Skills)
  • Architecture Review (Hard Skills)
  • DevOps Supportability (Hard Skills)
  • Mentoring Skills (Soft Skills)
  • Integration Development (Hard Skills)
  • Conflict Resolution (Soft Skills)
  • Design Ownership (Hard Skills)

2. Big Data Architect, AlgoNova Solutions, Jacksonville, FL

Job Summary:
  • Take ownership of data solutions from design and architecture perspective for projects in presales phase as well as on-going projects
  • Select and integrate any Big Data tools and frameworks required to provide requested capabilities. 
  • Oversee the implementation by team members of said solutions
  • Design and implement ETL and automated processes
  • Monitor performance and advise of any necessary improvements and changes
  • Management of EMR clusters, Glue Jobs, Athena Tables, S3 data lakes
  • Provide technical support to members of TS and SA team, as well as project support across client engagements
  • Work with geographically dispersed teams, embracing Agile and DevOps strategies for themselves and others while driving adoption to enable greater technology and business value
  • Stays current with relevant technology in order to maintain and/or improve functionality for authored applications
  • Acts as a subject matter expert for systems worked on. Ensures Cogensias data solutions are using the latest versions and code base
  • Actively listen to and work with end users to gather feedback and input, and make suggestions and solutions based on said feedback

Skills on Resume: 
  • Data Architecture (Hard Skills)
  • Big Data (Hard Skills)
  • Solution Oversight (Soft Skills)
  • ETL Design (Hard Skills)
  • Performance Monitoring (Hard Skills)
  • Cluster Management (Hard Skills)
  • Technical Support (Soft Skills)
  • User Feedback (Soft Skills)

3. Big Data Developer, DeltaLogix Technologies, Tampa, FL

Job Summary:
  • Work with data containing primarily unstructured data.
  • Create and support a capability to enable customers to find and consume unstructured data based on the context data we store.
  • Perform extract, transform and load (ETL) integrations for data migrations
  • Write ad-hoc scripts and queries, and develop real-time streaming applications and monitors.
  • Provide system software support for SF applications, components & testing software.
  • Provides product and/or process expertise necessary to support design, development, testing and execution of solutions in an agile development environment.
  • Participates in the full end-to-end software development lifecycle including coding, reviewing, testing, implementation, support and sunset. We utilize a CI/CD pipeline.
  • Resolves problems that result in a decreased time to market
  • Improves quality, enhances flexibility, and embraces the solution provider mindset.

Skills on Resume: 
  • Unstructured Data (Hard Skills)
  • Contextual Search (Hard Skills)
  • ETL Integration (Hard Skills)
  • Streaming Applications (Hard Skills)
  • System Support (Hard Skills)
  • Agile Development (Soft Skills)
  • Lifecycle Participation (Soft Skills)
  • Problem Solving (Soft Skills)

4. Big Data Engineer, Quantevo Analytics, Scottsdale, AZ

Job Summary:
  • Define, Design and develop services and solutions around large data ingestion, storage and management such as with RDBMS, No SQL DBs, Log Files, Events.
  • Define, Design and run robust data pipelines/batch jobs in a production environment
  • Architecting highly scalable, highly concurrent and low-latency systems
  • Work with third-party and other internal providers to support a variety of integrations.
  • Contribute to paying down technical debt and use development approaches that minimize the growth of new technical debt
  • Maintain, support and enhance current systems
  • Contribute feedback to improve the quality, readability, and testability of the code base within the team
  • Participating in sprint planning to work with developers and project teams to ensure projects are deployable and monitorable from the outside.
  • Participate in some of the 2nd line in-house support and Out-of-Hours support rotes.
  • Advise on best practices

Skills on Resume: 
  • Data Management (Hard Skills)
  • Pipeline Development (Hard Skills)
  • System Architecture (Hard Skills)
  • Integration Support (Hard Skills)
  • Technical Debt (Soft Skills)
  • System Maintenance (Hard Skills)
  • Code Quality (Soft Skills)
  • Sprint Planning (Soft Skills)

5. Big Data Software Engineer, Bluestone Systems, Raleigh, NC

Job Summary:

  • Responsible for design, development, and testing of application software
  • Works in an Agile environment with a mix of onshore and offshore resources
  • Responsible for effectively implementing the CI/CD for the applications
  • Responsible for troubleshooting production issues and bringing about quick resolutions
  • Installs and configures systems and other software
  • Effectively collaborates with team members and business units and acts as a SME and mentor
  • Identifies and resolves business systems issues
  • Measures effectiveness and efficiency of existing systems
  • Develops and implements strategies to improve systems
  • Responsible for implementing the non functional requirements of software
  • Monitors and tests system performance
  • Performs work with some independence of thought, but refers more complex problems to senior associates or supervisor/manager


Skills on Resume: 

  • Software Development (Hard Skills)
  • Agile Environment (Soft Skills)
  • CI/CD Implementation (Hard Skills)
  • Issue Resolution (Soft Skills)
  • System Configuration (Hard Skills)
  • Team Collaboration (Soft Skills)
  • System Analysis (Hard Skills)
  • Performance Monitoring (Hard Skills)

6. Senior Big Data Engineer, Infradata Systems Inc, Austin, TX

Job Summary:

  • Gather and process raw data at scale.
  • Process unstructured data into structured data, manage schema of new data.
  • Manage data access to protect data in a safe way.
  • Read, extract, transform, stage and load data to selected tools and frameworks
  • Perform tasks such as writing scripts, write SQL queries, etc.
  • Work closely with the operation team to advise the solution about service scalability, healthy monitoring and refining optimization by data analysis.
  • Work closely with the engineering team to monitor product performance and track product quality trends.
  • Analyze processed data.
  • Monitoring data performance and modifying infrastructure
  • Define data retention policies


Skills on Resume: 

  • Data Processing (Hard Skills)
  • Schema Management (Hard Skills)
  • Data Security (Hard Skills)
  • ETL Operations (Hard Skills)
  • Scripting Skills (Hard Skills)
  • Service Scalability (Soft Skills)
  • Product Monitoring (Soft Skills)
  • Data Analysis (Hard Skills)

7. Big Data Software Engineer, Greenpath Systems, Albany, NY

Job Summary:

  • Working as IC and following the agile development process.
  • Create large, scalable Spark jobs for data transformation and aggregation.
  • Develop web services on Python using Django/Flask
  • Produce unit tests for Spark transformations and helper methods.
  • Contribute to the overall DevOps for build using Docker.
  • Interact with Walmart cross functional engineering teams such as cloud, security, platform, analytics etc. across geographies to leverage technical expertise and contribute to the engineering community.
  • Work with the Engineering Lead/architect to develop the best solution and implementations.
  • Learn new and changing technologies and adapt to ensure the best software practices and standards.


Skills on Resume: 

  • Agile Development (Soft Skills)
  • Spark Programming (Hard Skills)
  • Python Development (Hard Skills)
  • Unit Testing (Hard Skills)
  • DevOps Implementation (Hard Skills)
  • Cross-functional Collaboration (Soft Skills)
  • Solution Design (Soft Skills)
  • Technology Adaptability (Soft Skills)