Big Data Resume Sample
Kelsi Stoltenberg
342 Auer Curve,
San Francisco,
CA
+1 (555) 300 0396
Work Experience
Big Data Lead
07/2015
-
PRESENT
San Francisco, CA
- Effective communication & engagement
- Client partner satisfaction
- Effective Demand Planning & Agility of delivery
- Effective Design & Architecture & Technical Deployment
- Efficient Adoption of New Technology
- Provide guidance and direction to the offshore team and follow standard methodologies to drive towards business goals
- Our infrastructure is 100% deployed on AWS
- We make heavy use of Spark to process and transform data
- We use Presto and Redshift for ad-hoc queries and analysis
Big Data
05/2012
-
02/2015
Dallas, TX
- Difficulty operating in an excellent manner reporting services to a large number of internal clients, who work in different functions, focused on solving business problems of a very different nature (commercial, technical, financial, operational, etc.) in a multinational environment
- Difficulty understanding the functions and projects of each of them in a very dynamic and changing environment
- To correctly interpret their needs and business problems arising,
- And translate those needs to specific requests to the local or global databases to resolve adequately and timely
- Difficulty in managing a high volume of requests, with high pressure on deadlines
- Strong demand in ensuring quality of the data provided and matching with official KPIs
- Need to handle a variety of variables and large volumes of data from very diverse sources
- Difficulty of creating strong links and maintaining fluid communication across the system owners in the OB and particularly with the local BI-Reporting managers and teams
- Difficulty of working geographically delocalized and functionally integrated with local BI-Reporting teams
Big Data Intern
08/2009
-
04/2012
Phoenix, AZ
- The source of truth for our data warehouse is AWS S3
- We run 1000s of batch jobs each night, training 100s of models that feed our recommendation engines and other data-driven APIs
- Relevant application development experience of mission critical systems from scratch, including experience in Analytics and Business Intelligence based on data from hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses (Oracle, EnterpriseDB, MySql, MariaDB)
- Managed development teams with sizes 80 -150
- Experience facing off to business stakeholders to manage their requirements and priorities
- Create mission critical applications from scratch and building up new development team for a brand-new mission
- Driven major changes in technology architecture and technology team culture
Education
Washington Adventist University
2004 - 2008
Bachelor's Degree in Computer Science
Professional Skills
- Excellent problem solving, hands-on engineering skills and communication skills and ability to lead the team and resolve their issues
- Good Communication skills. Strong analytical and communication skills
- Strong verbal and written communication skills and demonstrate proven technical leadership
- Strong technical skills and experience in data warehouse and reporting technology
- Excellent planning, prioritization, problem solving skills
- Excellent communication skills to be able to effectively translate and articulate the findings to technology, analytics and business stakeholders
- Strong object-oriented design and analysis skills experience
How to write Big Data Resume
Big Data role is responsible for technical, programming, development, analytical, sql, software, business, analysis, database, engineering.
To write great resume for big data job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Big Data Resume
The section contact information is important in your big data 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 Big Data Resume
The section work experience is an essential part of your big data 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 big data responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular big data position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Big Data resume experience can include:
- Translate wireframe designs into working prototypes using HTML, CSS, AngularJS, JavaScript, and Bootstrap as a blueprint for content and production development based on the Pitney Bowes Design System and reusable code repository
- Experience in project management, demonstrate past experience in planning/executing big and complex projects
- Strong problem-solving skills, analytical capabilities, and attention to detail
- Strong programming skills in Spark, Java or similar
- Excellent cross-team collaboration and communication skills
- Utilize your excellent communication skills to assist in conducting user interview sessions, requirements
Education on a Big Data Resume
Make sure to make education a priority on your big data resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your big data 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 Big Data Resume
When listing skills on your big data 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 big data skills:
- Proficient oral and written communication skills, including presentation experience, with proven leadership and mentoring abilities
- Demonstrated strong Unix scripting skills
- Demonstrated strong SQL skills
- Excellent presentation, written, and verbal communication skills at both the engineering and executive levels
- Strong SAS skills including use of SAS Enterprise Miner and SAS Model Manager
- Background in software development and solid programming skills with e.g. Java, Scala, Python or C++
List of Typical Experience For a Big Data Resume
1
Experience For Big Data Lead Resume
- Strong SQL / HiveQL skills
- Demonstrated experience developing software using Python, Spark
- Excellent skill in programming languages such as Java and/or C++
- Good at attention to detail, time management, work prioritization, multi-tasking, estimate tasks, on-time deliverables and task delegation & follow up
- Strong experience in a consulting environment
2
Experience For Big Data Technical Lead Resume
- Strong experience in data architecture
- Outstanding analytical skills to appropriately translate Humana’s business opportunities and needs into big-data solutions
- Advanced Structured Query Language (SQL) skills
- Big Data ecosystem – Parallel computing concepts, Hadoop, Strong LINUX experience, Map-Reduce, Hive, PIG, Python, JAVA, SCALA , HBASE, SOLR
- A proven experience in working with relational databases and Java
- Prior hands on dev lead with experience managing project development activities
- Progressive broad-based information systems experience, with 3+ years of management/supervisory experience in applications development
3
Experience For Big Data Development Lead Resume
- Desirable to have a good experience of Investment Management domain
- Working experience as DBA
- Working experience with devops tools, Chef/Puppet/Ansible
- Hands-on experience installing tools and developing solutions using Hadoop and related technologies
- Experience installing, configuring and tuning Hadoop environments
- Experience in data architecture design and development of solutions using some of the following technologies: Kafka, Spark, real-time processing technologies
- Experience building large scale data warehousing solutions, analysis, design, development, and performance tuning
4
Experience For Senior Engineer, Big Data Resume
- Experience creating cloud computing solutions and web applications leveraging public and private API’s
- Experience collaborating with developers, engineers, solutions architects and data scientists to deliver compelling content
- Dev/Ops: Experience deploying and utilizing Dev/Ops strategies, methods, and tools such as; Jira, GitHub, Docker, Kubernetes, Puppet, Chef, Nexus, Splunk
- Experience using Big Data technologies including Hadoop stack
- Good working knowledge of Linux, shell scripting
- Experience developing applications/programs using the Hadoop MapReduce framework
- Experience with data mining tools, including IBM SPSS, Revolution R, and/or Python
5
Experience For Big Data Engineering Lead Resume
- Strong understanding of predictive / analytical modeling techniques, theories, principles, and practices
- Experience with workflow processing on the Hadoop ecosystem including Oozie etc
- Experience in Big Data solution/product development using technologies such as Hadoop, Spark, Spark Streaming, Flink or Hive
- Experience designing and/or implementing Data lakes, in both hardware and software configurations
- Experience developing SOA architecture including REST or SOAP service design and development
- Experience in developing software applications requiring high scalability and performance
- Experience working with and extracting value from large, disconnected and/or unstructured datasets
- Experience of building and managing large scale data pipelines
- Experience in solution design and data modelling using NoSQL technologies
6
Experience For Senior Director, IT Big Data Resume
- Experience architecting highly scalable, distributed systems using different open source and commercial tools for multi-terabyte data warehouses
- Experience working with raster and vector data sets applying GDAL
- Experience developing REST style and OGC APIs that serve up geospatial data leveraging GeoServer
- An ability to demonstrate logical thinking, decisiveness and drive in taking on and
- Experience in building and deploying solutions to big data problems with various technologies
- Experience in building and implementing an architecture roadmap for next generation enterprise data and analytics solutions
7
Experience For Big Data Team Lead Resume
- Experience in working with emerging big data technology vendors (e.g. Cloudera, Hortonworks, Datastax)
- Experience with Big Data tools and technologies including working in a Production environment of a Hadoop Project
- Extensive experience in Conceptual, Logical and Physical data modeling including new application data model design and maintenance
- Experience developing Java RESTful Services using SpringBoot and Netflix OSS
- Experience in leading or managing engineers is required
- Professional experience implementing large scale secure cloud data solutions using Google data and analytics services e.g. BigQuery, DataProc
- Professional Services (customer facing) experience architecting large scale storage, data center and /or globally distributed solutions
- Experience with building end-to-end machine learning products
8
Experience For Big Data Lead Developer Resume
- Experience in managing handling technical implementations
- Experience managing and leading a development team, preferably within the information management domain is required
- Experience working with relational databases as well as with Hadoop-based data mining frameworks
- Experience with Architecting Distributed Solutions dealing with high volume of data on highly-scalable, multi-node environments
- Experienced in working with Caching solution like Hazelcast, Apache Ignite or similar
- Experience in Business Intelligence and Data Warehousing environment
- Experience in machine learning, for example, Tensor flow, Turi, Spark ML lib, and R
- Significant experience working with large amounts of real data
- Strong understanding of DevOps methodologies and concepts
9
Experience For Big Data Infrastructure Engineer Resume
- Or more semiconductor work experience, with specialization in Yield, Quality or Process Engineering
- Experience in business intelligence, data warehousing, analytics, big data
- Experience with leading a software development team
- Solid understanding of security architecture concepts
- Experience in data manipulation and performance reporting
10
Experience For Senior Director, Big Data & Data Sciences Resume
- Hands on experience of SDLC within the Hadoop eco-system including HBase, MapReduce, Pig, Hive, Oozie and Flume
- Strong SQL/data analysis or data mining background, common/reusable components, Audit Controls, ETL Framework
- Experience in delivering multiple projects in a fast paced and pressured environment
- Extensive hands on programming experience on multiple systems
- Experience of working on data management and analytics solutions, specifically with large volume, high velocity data intake and unstructured data
List of Typical Skills For a Big Data Resume
1
Skills For Big Data Lead Resume
- Strong interpersonal, analytical, and problem-solving skills with proven capability to deliver excellent results in competitive environment
- Familiar with Linux/Unix system, good shell programming skills
- Good Communication, estimation skills, configuration mgmt
- Strong interpersonal skills and ability to project manage and work with cross-functional teams
- Strong organizational skills to manage multiple timelines and complete tasks quickly within the constraints of clients’ timelines and budgets
- + Prior Financial Services Industry experience, especially in the Risk or Finance Technology area or Reference Data experience
- Strong Java, Python or Scala development skills
- Excellent written and verbal communication skills, including technical presenting and interacting with colleagues across organizations
2
Skills For Big Data Technical Lead Resume
- Strong verbal and written communication skills are a key.
- Proficiency in facilitating meetings and interviewing skills for running requirements gathering workshops
- Computer programming, operating system programming, and performance analysis skills
- Experience working with Java as hands on developer, architecting applications with experience leading a team
- Prior experience with remote monitoring and event handling using Nagios
- Strong experience writing Programs using PL/SQL and queries using SQL
- Skills in working with open source statistical analysis environments to develop predictive models (e.g. machine learning)
- Experience implementing AWS architecture and services Experience creating environments (e.g., development, test, etc.) on AWS
3
Skills For Big Data Development Lead Resume
- Intermediate to senior level experience in an Apps Development role. Experience working and leading Big Data Projects
- Proven experience in presenting and engaging to senior stakeholders within a large organisation
- Strong experience working hands-on with big data systems and associated technologies such as Hadoop, Cloud computing (AWS EC2, Redshift, Lambda, Kinesis) etc
- Strong knowledge & experience of Java server-side / Hadoop ecosystem development – Including Cascading, Hive, Oozie, Falcon
- Have a continuous improvement in technical skills participating in mentoring activities given by the Santiago Development Center
- Self-starter who is able to combine exceptional problem-resolution and critical thinking skills and be willing to adapt to new technologies / tools
- Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage
- Strong Telecom knowledge- having excellent knowledge in telecom industry and different data sources
4
Skills For Senior Engineer, Big Data Resume
- Encourage the growth of junior engineers on the team through skills development, mentoring and technical guidance
- Strong experience utilizing Spark and Hadoop
- Strong experience utilizing SQL and NoSQL databases
- Strong experience utilizing Cloudera Enterprise deployments relational databases, Cloudera Manager databases, Hive Metastore, Hue database, Oozie database
- Coach and grow data engineering team skills
- Team with scrum master on coaching scrum skills
- Solid understanding and experience with high-scale or distributed RDBMS and knowledge of NoSQL platforms
5
Skills For Big Data Engineering Lead Resume
- Demonstrated experience utilizing REST, SOAP, or other data service methodologies
- Demonstrated experience adapting to new technologies
- Strong experience in IT Service chain and incident, problem and change processes
- Strong experience on NOSQL Databases (I.e. HBase, Cassandra, MongoDB etc.)
- Strong experience on different data file formats (I.e. CSV, XML, JSON, BSON, AVRO, ORC etc.)
- Strong ETL experience on Informatica or Ab Initio
6
Skills For Senior Director, IT Big Data Resume
- Proven Development and Delivery experience
- In-depth expertise on Core Java & Java EE conceptual and programming skills
- Technical/problem solving, analytic skills
- Good experience in working with NoSQL systems
- Sound Linux admin skills and one query language/database
- Excellent core Java / C++ development experience
7
Skills For Big Data Team Lead Resume
- Consolidate, validate and cleanse data from a vast range of sources – from applications and databases to files and web services
- Good experience of different databases, such as Oracle, Teradata, MS SQL Server, Sybase, and etc.
- Experience in mid to large scale Data warehouse with experience on BI Delivery and Architecture
- Advanced skills in analyzing large, complex, multi-dimensional datasets with a variety of tools
- Experience with tuning Big data solutions to improve performance and end-user experience
- Strong experience in bash scripting
- Excellent knowledge, experience with the Hadoop stack (Hadoop, Hive, Pig, Hbase, Sqoop, Flume, Spark, Kafka, Shark, Oozie, etc.)
- Good to have experience in Application development and deployment
- Any combination of below technical skills
8
Skills For Big Data Lead Developer Resume
- Experience in Telecom or IT is a strong asset
- Strong IT experience within a corporate environment
- Excellent in data analysis with above average programming skill in Java, Perls, R, C++, or any other programming languages
- Strong experience in Agile methodologies and approach
- Development experience and excellent understanding of Data Warehousing lifecycle principles and best practices
- Development experience and excellent understanding of Software Development Lifecycle principles and best practices
9
Skills For Big Data Infrastructure Engineer Resume
- Communicate effectively (both verbal and written) and work in a team environment
- Prior experience in Hadoop or Spark
- Big Data experience with hands on coding and development experience in Scala, Python, or Java
- Working experience with NoSql data platforms (Cassandra), Pub/sub messaging (Rendezvous, AMPS, Kafka, etc.), Stream processing (Storm, Spark Streaming, etc.)
- Working experience with Tableau or other Business Intelligence and Analytics tools
10
Skills For Senior Director, Big Data & Data Sciences Resume
- Working experience or knowledge in Agile development
- Experience designing and implementing fast and efficient data acquisition using Big Data processing techniques and tools
- Engineering Experience - building and supporting mission critical user-facing, large-scale and distributed systems
- Strong background in architecting and delivering real time messaging applications
- Experience working with all aspects of distributed processing, including Hadoop, Hive, Apache Spark and Cassandra
- Experience leading and managing software development teams using AWS, Hadoop/Big Data tools
- Experience with data warehouses including Data modeling, SQL, ETL tools, data visualization and reporting
- Experience working with Java as hands on developer, architecting applications with 3+ years of leading a team
List of Typical Responsibilities For a Big Data Resume
1
Responsibilities For Big Data Lead Resume
- Has prior experience identifying, analyzing, and troubleshooting problems in solutions, analytics, and data
- Strong experience in architecting and implementing real-time big data pipelines (Kafka / Spark Streaming / Flink / Message Queues / REDIS)
- Experience launching, managing, and measuring complex projects
- Tech lead experience with expertise in designing & developing high quality big data solutions
- Experience in developing programming practices
- Experience developing and deploying applications to cloud-based architectures such as Amazon AWS
- Experience or familiarity with streaming toolsets such as Kafka, flink, spark streaming, and or Nifi/StreamSets
- Experience is architecting and developing scalable real-time or near real-time applications
- Professional experience implementing large scale secure cloud data solutions using AWS data and analytics services (S3, EMR, Redshift)
2
Responsibilities For Big Data Technical Lead Resume
- Experience in development using Big Data processing frameworks such as Hadoop and Spark
- Significant experience with processing large amount of data, both structured and unstructured
- Strong knowledge in Java and scripting languages such as Shell, Python
- Experience in Engineering and/or Administration on back-end systems
- Very strong knowledge of Data warehousing best practices for optimal performance in an MPP environment
3
Responsibilities For Big Data Development Lead Resume
- Experience with Machine Learning and Computational Statistics
- Experience with Cron, CTRL M, and scheduling of batch jobs
- Experience performing 24 by 7 Production Support on applications
- Participate in improve function excellence by recommending changes in policies and procedures to drive efficiency and effectiveness of teams
- Experience with infrastructure engineering
- Excellent opportunity to design/develop enterprise applications in Finance & Risk technology area, using big data platform
4
Responsibilities For Senior Engineer, Big Data Resume
- Demonstrated success translating business requirements to technical specifications
- Experience in deploying ML models for real-time predictions preferably in AWS (SageMaker, etc.)
- Demonstrate and promote best practices for teams using cloud platforms
- Strong sense of ownership, customer service, and commitment to continually improving yourself
- Designing and architecting solutions, scoping new engagements and implementations both short and long term, and guiding the team during product implementations
- Assisting team members in interpreting scope, estimating impact/work and approving the estimates for distribution
- Ensuring projects are progressing according to plan by resolving issues or obstacles
5
Responsibilities For Big Data Engineering Lead Resume
- Providing up-to-date resourcing and spending plans to properly manage the portfolio in terms of staffing and finances
- Understanding of the storage management industry, products, competitors, history, emerging trends and changing marketplace
- Maintaining up-to-date diagnostic of existing data sources, insights and reporting
- Understanding, documenting and articulating the customer’s current analytical frameworks and data architecture and its use by IT and business
- Planning and deployment of SAS clusters. Cluster maintenance activities such as patching security holes and updating system packages
- Defining, evangelizing and supporting technology and business partners who use the platform
- Advising on GDT technical decisions including architecture approach, solution design and detailed troubleshooting
- Designing and deploying large scale distributed data processing systems
- Implementing data intensive software product for network analytics, monitoring and troubleshooting
6
Responsibilities For Senior Director, IT Big Data Resume
- Willing to take on ownership of delivering solutions in cutting edge technologies
- Distributing and centralising external research on insights & analytics
- Providing technical leadership for technology teams delivering on the big data platforms
- Consulting and Consultative Selling
- Resolving technical issues and advising on best practices for big data, Hadoop environments and AtScale
- Driving successful installations of the product, configuration, tuning, and performance
- Assisting with capacity planning for the environment to scale
7
Responsibilities For Big Data Team Lead Resume
- Being meticulous about tracking things and follow-through
- Managing team assignments by assessing subject area knowledge, individual capacity, and project demands
- Evaluating candidates for new positions including FTEs & contractors
- Understanding of the main causal inference concepts (A/B testing, treatment and control groups, inference on observational data)
- Tuning of processing scripts
- Analyzing/measuring the quality of data ingested into Cigna's Data Lake
- Working knowledge of relational databases and SQL query tuning
8
Responsibilities For Big Data Lead Developer Resume
- Maintaining up-to-date organisation chart and global & market analytics & insights contacts
- Launching internal SharePoint site, from content creation to communication
- Establishing enterprise wide collaboration across functions
- Working in collaboration with Accenture’s global network of experts and delivery centres
- Scaling big data technology teams
- Setting up the technical framework for the technology and business teams
- Participating in, map, design, implementation, unit test, performance, and regression test phases
- Ensuring modularity, reusability and quality of designed and implemented components
9
Responsibilities For Big Data Infrastructure Engineer Resume
- Researching and evaluation of new tools and technologies to solve complex business problems
- Managing a team of 5-7 FTE and 5-15 vendor resources (with frequent growth / mix changes) and provide feedback for individual contributor development
- Coordinating with team to implement continuous process improvements
- Ensuring the necessary and complete documentation is created
- Working with production scale Machine Learning
- Ensuring adherence to process and quality, and identifying project/program delivery risks and works on risk mitigation
- Building marketing collaterals for Insurance specific solutions and share learnings across practices
- Ongoing responsibility to manage the technology debt across the inventory of data services products
- Working knowledge of JavaScript, JSON
10
Responsibilities For Senior Director, Big Data & Data Sciences Resume
- Applying the concept of continuous improvement
- Messaging product – Tibco, MQ etc
- Work with the teams in facilitating architectural guidance, planning and estimating cluster capacity, and creating roadmaps for deployment
- Engage in capacity planning and demand forecasting, anticipating performance bottlenecks and scaling the environment as needed
- Develops and deploys solutions using data analysis, data mining, optimization tools, machine learning techniques and statistics
- Responsible for designing and building new Big Data systems for turning data into actionable insights
- Lead the engineering team responsible for the implementation and support of data ingestion, data processing and machine learning pipelines
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