BIG DATA SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: May 26, 2025 - The Big Data refers to extremely large datasets that require advanced tools and techniques to store, process, and analyze efficiently. This position demands strong skills in data engineering, distributed computing, and statistical analysis to uncover meaningful insights. This role experience with platforms like Hadoop, Spark, and cloud-based analytics is essential for managing and interpreting complex data at scale.

Essential Hard and Soft Skills for a Standout Big Data Resume
  • Scrum Expertise
  • Architecture Review
  • DevOps Supportability
  • Integration Development
  • ETL Design
  • Cluster Management
  • Streaming Applications
  • System Architecture
  • CI/CD Implementation
  • Python Development
  • Technical Leadership
  • Mentoring Skills
  • Conflict Resolution
  • Solution Oversight
  • Technical Support
  • Agile Development
  • Problem Solving
  • Code Quality
  • Sprint Planning
  • Cross-functional Collaboration

Summary of Big Data Knowledge and Qualifications on Resume

1. BS in Computer Science with 5 years of Experience

  • Experience mining data as a data analyst and/or with a forecasting and financial analysis role including KPI management and variance analysis
  • Technical writing experience in relevant areas, including queries, reports, and presentations
  • Experience as a data analyst or business analyst.
  • Critical thinking and the ability to work with large amount of numerical data, in order to identify trends and obtain new conclusions based on the findings
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Ability to cope with a dynamic, constantly changing working environment
  • Ability to work independently and with limited supervision
  • Good verbal and written communication skills
  • Ability to maintain a friendly and respectful work environment with colleagues.

2. BS in Data Science with 4 years of Experience

  • Experience with SQL, Data warehousing, Data modeling, ETL, Dashboarding and Reporting
  • Experience with dashboarding tools (eg. Tableau, Google Data Studio etc)
  • Experience with statistical analysis programming languages (R, Python, etc)
  • Experience translating analysis results into business recommendations and business questions into an analysis framework
  • Extremely strong communication skills
  • Experience in front-end development, JavaScript, and/or other scripting languages
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Ability to work in a team, ability to work under pressure, flexibility, problem solving in an optimal time
  • Ability to be creative and “think out of the box” to create win-win solutions
  • Able to coordinate and manage several tasks at the same time

3. BS in Statistics with 6 years of Experience

  • Experience with architecture design and hands-on implementation of Big Data pipelines, preferably in Azure or AWS
  • Expertise with Hadoop, Spark and Hive implementations with strong programming experience in Hive, Java, Scala, Python, and SQL.
  • Experience with both relational and NoSQL databases, data modeling, daand tabase performance tuning.
  • Experience working on UNIX platform, expertise in shell scripting and performance monitoring on UNIX servers.
  • Experience with performance benchmarking and optimization.
  • Excellent analytical/problem-solving solving and troubleshooting skills.
  • Excellent verbal and written communication, presentation and interpersonal skills
  • Experience with Machine Learning, Search Engines
  • Experience with Analytics and Advanced Data Visualization

4. BS in Information Systems with 5 years of Experience

  • Hands-on implementation experience with enterprise data migration on cloud platforms including AWS/Azure and products and services such as Redshift, EMR, and DynamoDB.
  • Development experience with big data ecosystems such as Apache Hadoop, Cloudera, MongoDB etc is a must
  • Experience with data engineering background including ETL tools and experience with handling large variety of data sets in healthcare or financial domains.
  • Understanding and familiarity with a variety of of ML algorithms, statistical analysis & data mining including experience with scripting languages such as R, Python
  • Experience providing quantitative analysis and effectively presenting business findings and propose next steps to clients and leadership.
  • Capability of defining technical roadmaps for product design and evolving product features.
  • Experience with data migration and implementation on big data ecosystems.
  • Implementation experience with self-service analytic tools such as Tableau and Power BI.
  • Excellent data management skills and analytical thinking capabilities.
  • Experience leading and managing large enterprise-wide initiatives for reporting, advanced analytics and information delivery
  • Ability to recommend and implement industry best practices for advanced and real-time data analytics.

5. BS in Applied Mathematics with 7 years of Experience

  • Experience with developing solutions on the AWS platform using services such as RDS, S3, IAM, Lambda, API Gateway
  • Experience migrating customers to the cloud and designing DevOps operational processes, deployment checklists, etc.
  • Experience with Scrum/Agile methodology
  • Experience working in cloud migration services
  • Interest in using any and all appropriate tools, especially Cloud-based, to solve the problem at hand
  • Expert level demonstrated experience in developing code, implementation and adapting to cloud strategy
  • Experience working in Cloud environments, AWS, Big data environments
  • Experience writing code in a high-level language like Java, a scripting language like Python
  • Experience building integrations between applications using REST APIs
  • Ability to configure and implement AWS tools such as CloudWatch, CloudTrail, and direct system logs for monitoring.

6. BS in Software Engineering with 6 years of Experience

  • Knowledge of a language common to cloud platforms such as Java or Python
  • Knowledge of the creation and maintenance of CI/CD pipelines
  • Test-driven development and/or behavior-driven development
  • Ability to stay current with the evolving platform and understand how new AWS services can enrich products
  • Familiarity with GIT and managing branching strategies
  • Strong skills in creating and using complex SQL queries, Stored Procedures, and validating reports/back-end data.
  • Strong Data Analysis skills with Database knowledge and experience with database query tools and languages (TOAD/DB Visualizer/SQL Developer).
  • Ability to work on multiple projects and flexibility to change priorities
  • Ability to leverage industry best practices to design, test, implement, and support a solution.
  • Skills that good to have Continuous monitoring solutions such as Elastic Stack, Microservice Architecture, and DevOps including CloudFormation (infrastructure as code), Ansible, Auto Scaling.
  • Ability to take ownership and drive issues to closure

7. BS in Computational Science with 4 years of Experience

  • Experience on Big Data solutions (Hadoop, Hive, Spark, Kafka, NiFi, HBase, Flink)
  • Experience in the development of Big Data solutions
  • Mastery of the development of data pipelines with tools and frameworks such as Apache NiFi, Spark, Kafka, Hive, HBase
  • Mastery of development languages, querying and data processing libraries SQL, Java, Scala, Python (Panda, Numpy)
  • Experiences with Spark Streaming, Kafka Streaming, Spark HBase
  • Good practical knowledge in the use of CI / CD tools (Bitbucket, Artifactory,)
  • Knowledge of Hortonworks and/or Cloudera platforms and business solutions
  • General knowledge of data formats such as Avro, Parquet, ORC
  • Experience in Linux environments
  • Experience and knowledge of agile methodologies and tools
  • Knowledge of Azure Cloud and/or GCP platforms
  • Knowledge of NoSQL solutions (MongoDB, Cassandra)
  • Knowledge of microservices development

8. BS in Business Analytics with 5 years of Experience

  • Strong problem-solving skills and critical thinking ability.
  • Strong collaboration and communication skills within and across teams.
  • Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.
  • Ability to understand complex systems and solve challenging analytical problems.
  • Experience with bash shell scripts, UNIX utilities & UNIX Commands.
  • Knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar.
  • Knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment.
  • Experience building data transformation and processing solutions.
  • Knowledge of large-scale search applications and building high-volume data pipelines.

9. BS in Artificial Intelligence with 6 years of Experience

  • Experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions. 
  • Strong experience using managed services and Infrastructure as a Service.
  • Experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow
  • Strong programming experience in Python and Java/Scala
  • Understands the concepts behind distributed databases, batch and stream processing
  • Experience in working with extremely large healthcare datasets, preferably in an architecture or lead role
  • Strong familiarity with healthcare data formats including EDI and FHIR 
  • Ability to architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources 
  • Experience building microservices and event-based architectures 
  • Experience with AWS Security Architecture including IAM, Security groups and policies. 
  • Experience with Terraform and/or cloud formation. 
  • Experience building CI/CD pipelines in public cloud and creating a culture of automation. 
  • Experience leading and mentoring junior engineers 
  • Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake 
  • Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments 
  • Experience in the migration of applications to AWS 
  • Excellent oral and written communication skills
  • Excellent time management skills with the ability to adapt to changing business priorities and operational demands
  • Extensive knowledge of existing industry standards, technologies, and operational norms

10. BS in Big Data Analytics with 3 years of Experience

  • Experience in data engineering applications and products in AWS or any cloud provider.
  • Data engineering/ETL Design and Development knowledge using Hadoop or Spark
  • Experience with AWS (Dynamo DB, Lambda, or S3).
  • Hands-on experience in programming (Java, Python, or Scala), and to perform data/file manipulation using Shell scripting.
  • Experience using no-SQL technologies and Big Data platforms - strong development skills around Hadoop, Hive, Map MapReduce.
  • Experience using Database procedural languages such as SQL, PL/SQL, T-SQL
  • Experience with test practices and processes, test automation, test coverage and user acceptance testing.
  • Exposure to Object-oriented design, distributed computing, performance/scalability tuning, advanced data structures and algorithms, real-time analytics and large-scale data processing.
  • Exposure to ETL Development tools such as Airflow, SSIS, SSRS, and DataServices.
  • Experience working in Agile/SCRUM model.

11. BA in Data Science with 4 years of Experience

  • Experience with full development lifecycle from inception through implementation
  • Experience with building large-scale big data applications
  • Experience & demonstrated proficiency in Core Java and Spark (or other Big Data technology).
  • Experience of successfully delivering big data projects using Kafka, Spark and related stack on premise or cloud
  • Experience in HDFS, MapReduce, Yarn & Hive
  • Experience as an Agile developer and good understanding of SDLC methodologies/guidelines
  • Hands-on experience with building CI/CD
  • Experience in developing software solutions leveraging Test Driven Development (TDD)
  • Able to tune big data solutions to improve performance
  • Experience with ETL tools such as Ab Initio

12. BA in Statistics with 5 years of Experience

  • Experience with distributed systems, Big Data technologies, streaming technologies and SaaS based architectures (e.g. Hadoop, Spark, Kafka, Data Lakes)
  • Experience with Container Platforms (OpenShift) and/or containerization software (Kubernetes, Dockers)
  • Experience architecting data pipelines including data collection, data storage and processing, data analysis on scale and elastically
  • Knowledge in data modelling, query optimization on different storage. solutions such as RDMS, document stores, graph databases, time-series databases, and data warehouses
  • Familiar with defining Data Governance concepts (incl. data lineage, data dictionary)
  • Firm understanding of major programming/scripting languages like Java/Scala, Python and/or R
  • Knowledge of Gradle based tooling for building polyglot CI/CD pipelines, DevOps, automation, agile methods, automated testing, and code quality.
  • Strong presentation and communication skills
  • The collaborative mindset for sharing ideas and finding solutions

13. BA in Economics with 6 years of Experience

  • Experience working with big data technologies like Hadoop, MapReduce, Hive, Impala, HBase, MongoDB, Cassandra etc.
  • Experience working with other big data solutions like Oozie, Mahout, Flume, ZooKeeper, Sqoop, Cloudera, SAP HANA etc.
  • Expertise in back-end programming, specifically java, JS, Node.js, Linux, PHP, Ruby, Python and/or R.
  • Experience with object-oriented analysis & design (OOAD), coding and testing patterns.
  • Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms
  • Able to guide and train junior developers on the Bid Data platform tools and technologies.
  • Expert in data warehousing solutions.
  • Proficient in designing efficient and robust ETL/ELT workflows
  • Able to write high-performance, reliable and maintainable code
  • Analytical and problem-solving skills, applied to Big Data domain

14. BA in Mathematics with 4 years of Experience

  • Expert level knowledge with 8-10 years of experience in Cloudera Hadoop components such as HDFS, HBase, Impala, Hue, Spark, Hive, Kafka, YARN and ZooKeeper
  • Expertise in architecture, building and troubleshooting Hadoop experience on Cloudera Distribution
  • Experience with on-prem and cloud deployments
  • Experience in scripting, automation, deployment, setup and installation, troubleshooting shooting and fixing issues across platforms
  • Architecture, Design and Development of Big Data Lake
  • Ability to take end-to-end responsibility of the Hadoop life Cycle in the organization.
  • Ability to detect, analyze and remediate performance problems.
  • Experience in at least one of the following: Python, Java or Shell Scripting and eager to pick up new programming languages on the go
  • Ability to function within a multidisciplinary, global team. 
  • Knowledge from data and the ability to elicit technical requirements from a non-technical audience
  • Knowledge of Data Concepts (ETL, near-/real-time streaming, data structures, metadata and workflow management)
  • Understanding of DevOps and Agile software development methodologies
  • Strong communication skills and the ability to present deep technical findings to a business audience
  • Experience working in an agile environment
  • Experience with AWS/Azure/Google Cloud 
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