Big Data Analytics Job Description

Big Data Analytics Job Description

167 votes for Big Data Analytics
Big data analytics provides architecture and solutioning help in large scale distributed systems, especially those involving Hadoop, Spark, NoSQL databases and analytical programming languages (Python/R).

Big Data Analytics Duties & Responsibilities

To write an effective big data analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included big data analytics job description templates that you can modify and use.

Sample responsibilities for this position include:

Hands-on experience in Big Data Components/Frameworks such as Hadoop, Spark, Storm, HBase, HDFS, Pig, Hive, Sqoop, Flume, Ozie, Avro, Scala
Analyze latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis, model development, machine learning techniques and new service offerings
Experience/knowledge of other tools like, Python Anaconda, SAS, SPSS, WPS
Design and Implement Java Map Reduce Utilities and Jobs
Design and Implement Algorithm Pipelines with Orchestration Engines
Service Enable our Big Data Algorithms in the Enterprise
Lead Java Map Reduce effort for the Analytics Group
Work closely with Data Scientists and Data Analysts to define and implement execution pipeline
Consult on best practices in the algorithm development from performance, engineering & operational support perspective
Collaborate with Sales to inspire successful sales engagements with external parties through live technology demonstrations, POCs, webcasts, online chats and expert advise on how to best leverage our Solutions to architect a new wave of applications

Big Data Analytics Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Big Data Analytics

List any licenses or certifications required by the position: AWS, PMP, ITIL, DP, III, IAT, V3, SSL, PCF, CISA

Education for Big Data Analytics

Typically a job would require a certain level of education.

Employers hiring for the big data analytics job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Engineering, Technical, Statistics, Science, Computer Engineering, Machine Learning, Mathematics, Information Technology, Education

Skills for Big Data Analytics

Desired skills for big data analytics include:

Machine learning
Operations research
Programming languages and client environments
Like Test-Driven Development
Software best practices

Desired experience for big data analytics includes:

Strong Knowledge of software development practices and ability to develop toolsets in an extremely self directed environment
High proficiency in Java Development Practices
Familiarity with java frameworks such as Hibernate, Spring, Log4J
Prior experience in process orchestration engines
Prior Hadoop and Java MapReduce Experience required
Familiarity withy Distributed Computing Platforms

Big Data Analytics Examples


Big Data Analytics Job Description

Job Description Example
Our company is growing rapidly and is hiring for a big data analytics. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for big data analytics
  • Help identify and develop new opportunities for expansion of our BP's and their client's businesses
  • Proactively manage successful deployment of our solutions
  • Keep BPs and customers up to date on new developments and best practices that could help expand their solution deployments
  • Design and develop applications for big data analytics in Industrial 4.0 area
  • Recruit and manage targeted partner capacity for the advanced analytics workload scenarios in alignment with the APJ Timezone based Cloud + Enterprise black belt team
  • Identifies and cultivates opportunities for selling extensions to existing project work new downstream opportunities
  • Accountable for the overall delivery of support services in the region, ensuring that SAP BI/ BW service performance meets or exceeds established goals / SLAs, within budget and with a good customer satisfaction rating
  • Build and manage a regional managed team (direct/matrix) that designs, operates, and continually improves theSAP BI/ BW data support in the region
  • Manage the entire lifecycle of Service Products offerings
  • Define and communicate roadmap both internally and externally
Qualifications for big data analytics
  • JBoss Drools
  • Kafka, Flume
  • JavaScript Frameworks such as jQuery, Angular, Bootstrap
  • SQL and NoSQL (Cassandra, HBase etc)
  • Familiar with system test
  • Master degree with at least 3 years' software design and development experience, strong programming skills in Java/SQL/C

Big Data Analytics Job Description

Job Description Example
Our company is growing rapidly and is looking to fill the role of big data analytics. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for big data analytics
  • Balance build vs
  • Understand key open source trends and identify opportunities for integration/collaboration
  • Establish highly visible and positive awareness of the service product in the marketplace
  • Knowledge of cloud deployment options and methodologies
  • Be the voice of analytics for support and communicate insights and recommendations to senior management
  • End to end ownership of big data platforms and leading edge data analytics products
  • Management and oversight of software engineers and product managers
  • Staffing, mentoring, and enhancing best-in-class engineers and product managers
  • Guide engineers to architect and develop the best technical design and approach by being a hands-on technical leader and contributor
  • Lead product managers to develop business strategies fueled by platform innovations
Qualifications for big data analytics
  • Understand complex technical requirements and think creatively about how to deepen the impact of our CAMSS solutions within a customer's organization, with emphasis in Big Data/Analytics
  • Excellent problem-solving ability, deep technical skills and solid business judgment
  • Architectural Thinking and knowledge of solution design methods
  • Outstanding verbal and written communication skills and superior academic performance
  • Passion for technology and business impact created by it
  • Solid conceptual and practical skills in the Big Data/Analytics portfolio

Big Data Analytics Job Description

Job Description Example
Our growing company is looking to fill the role of big data analytics. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for big data analytics
  • Specify the relevant data that can be extracted from ALM
  • Evaluate the best solution to store and share data
  • Design a technical solution, prototype it and implement it
  • Lead and develop a world class team of 20+ data scientists, engineers, product managers, and analysts
  • Ability to bring data to life through visualization and story telling
  • Strong understanding of the Online Advertising Industry, a passion for technology and the drive and ownership to work in a start-up environment
  • Lead engagement solution, planning, and serve as the main point of contact projects
  • Define deliverable strategy, resource planning, structure and success criterion
  • Manage the solution architecture and delivery of projects, while directing a multi-disciplinary project teams of project managers, analysts, architects and technology specialists/engineers
  • Serve as the primary executive for day-to-day interactions with customers, including project-level and executive-level stakeholders
Qualifications for big data analytics
  • Experience with Amazon AWP , Microsoft Azure, Cloud Foundry and Heroku will be a plus
  • Deep understanding on the relationships between Big Data/Analytics and the disciplines of architecting applications that integrate Systems of Engagement with Systems of Record
  • Expert on Javascript/CSS/HTML
  • At least 1 year experience in Javascript/CSS/HTML
  • Data mining and analysis.Prior development experience with applying data mining and machine learning techniques for efficient search, recommendation and content discovery
  • At least 15-20 years of experience in database management, data validation and responsible for overall performance for servicing and selling S&A Advanced Analytics solutions

Big Data Analytics Job Description

Job Description Example
Our company is looking to fill the role of big data analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for big data analytics
  • Responsible for designing workflows, and implement KPI dashboards, baseline and custom reports for industry leading analytics solutions
  • Providing analytics that allow understanding of the impact of product events on capacity
  • Ability to work with the stakeholders and understand detailed requirements and design complete user experiences that meet needs and vision
  • Assisting the team with UX design by continually improving end-to-end workflow user experience
  • She / he will design, develop and modify code based on functional and system requirements
  • You will participate in testing process through unit and functional testing
  • Perform development tool and environment design and configuration
  • Support bug fixes, change requests and functional improvement on the code
  • Validates scope, plans and deliverables for assigned projects
  • Responsible for overall technology direction for the assigned module/project
Qualifications for big data analytics
  • Ability to create and deliver new business opportunities through ideation, requirements gathering, development and launch
  • Adaptable and able to remain focused on priorities under frequently changing market, business and technology conditions while handling multiple tasks concurrently
  • A solid understanding of Big Data solutions and marketplace – partners, competitors, use cases
  • The ideal candidate is a subject matter expert in Big Data and strongly influences sales team decisions, GTM initiatives and Field Ops leadership
  • Virtualization experience (cloud or non-cloud), knowledge of Cloud infrastructure, security architectures, and standards
  • Understanding of solutions for security, IT Operations, and Customer analytics across industry verticals working with key analytics providers such as SAS, SAP

Big Data Analytics Job Description

Job Description Example
Our company is hiring for a big data analytics. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for big data analytics
  • Design and implementation of data processing systems and software
  • Implementation of low-latency and highly available APIs
  • Integration of existing databases in processing pipeline
  • Support with implementation of user interfaces
  • Follow the change and Incident Management process
  • Manages projects to timely conclusion
  • Communicates findings to diverse audiences
  • Incident, problem, change management and release management of the supported solution
  • Avoid any unplanned downtime in the customer's production environment
  • Meet the predefined service level agreements
Qualifications for big data analytics
  • 1 year of your experience should involve designing and implementing large-scale distributed systems using Java, Object Oriented design, and distributed programming
  • Previous experience with peta-byte scale data, analytical/data science product development, and/or machine learning applications
  • Bachelor’s degree from an accredited college/university in Computer Science, Computer Engineering, or related field and minimum four years of big data experience with multiple programming languages and technologies
  • 3-5 years of product management experience specifically in data visualization, analytics and business intelligence
  • Bachelors degree, or equivalent experience, in a math or engineering discipline
  • Strong math, analytical, statistical modeling and problem-solving skills

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