Big Data Developer Resume Sample

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Immanuel Schiller
711 Jakubowski Forges,  Houston,  TX
+1 (555) 149 0661

Work Experience


Lead Big Data Developer
03/2016 - PRESENT
Detroit, MI
  • Proven knowledge of Data Warehousing technologies and issues
  • A good understanding in using SQL to create high-performing reports and database requests
  • Experience with the concepts of business analysis
  • Excellent understanding of data modelling concepts, and the relative merits of different modelling approaches (normalised vs. denormalised, columnar data formats)
  • An understanding of the benefits usage and constraints of ETL technologies and GUI tools
  • Demonstrated competency in all phases of data warehousing projects, from inception to production deployment
  • Solid understanding of data warehousing principles and best practices
  • Knowledge of SQL, including tuning and performance considerations in high-volume MPP environments
Big Data Developer
05/2010 - 02/2016
Houston, TX
  • Driving innovation across the firm’s corporate technology portfolio, increasing efficiencies through process automation, and Agile application development, with an emphasis on user experience and shorter development cycles
  • Experience writing unit tests for appropriate application coverage required
  • Strong analytical, troubleshooting, and problem-solving skills - experience in analyzing and understanding business/technology system architectures
  • Strong knowledge of and experience with analytics (e.g. SAS, R), notebooks (e.g. Jupyter), programming (e.g. Python/Java/Scala), and streaming (e.g. Spark)
  • Learn quickly, understand complex problems, and apply useful solutions to those problems
  • Able to communicate effectively at all levels and in all mediums (formal presentation, written reports, email, IM, verbal)
  • Perform all phases of the Software Development Life Cycle
  • Work directly with Scrum team members and the solution architect for project related items, such as providing system status
Junior Big Data Developer
09/2003 - 12/2009
New York, NY
  • Experience with massively parallel data warehousing DBMS platforms such as Netezza or Teradata
  • Expertise with various tools and platforms used in data integration development, including shell scripting, ETL tools such as Informatica, and enterprise scheduling tools such as Tidal
  • Hands-on experience with Hadoop and associated technologies such as MapReduce, Spark, Pig and Hive
  • Maintain a positive relationship with team members and business partners
  • Lead projects including the scheduling and coordination of activities
  • Comfortable interfacing and collaborating with a global delivery vendor and an offshore delivery model
  • Responding to the evolving regulatory environment and helping to meet the firm’s regulatory commitments by addressing internal and external commitments
  • Advancing the firm’s Roadmap programs -- Single Sourcing of data, Architecture Convergence, and Rationalization of Platforms

Education


Grand Valley State University
1999 - 2003
Bachelor's Degree in Computer Science

Professional Skills


  • Analysis skills, Demonstrate collaborative skills working within a project team of diverse skills
  • Excellent communication skills (both written and oral) combined with strong interpersonal skills
  • Strong verbal and written communication skills and demonstrate proven technical abilities
  • Analytical and problem solving skills, applied to Big Data domain with proven experience using Hadoop, HBase, Hive, Pig, and HBase
  • Excellent communication skills and experience of distributed global teams with Solid grounding in Financial Service
  • Organization skills, be able to prioritize task based on priority
  • Strong Database design skills including SQL, procedures and query tuning

How to write Big Data Developer Resume

Big Data Developer role is responsible for programming, software, development, design, technical, python, engineering, java, integration, reporting.
To write great resume for big data developer job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Big Data Developer Resume

The section contact information is important in your big data developer 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
  • Email
  • Telephone number

Work Experience in Your Big Data Developer Resume

The section work experience is an essential part of your big data developer 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 developer 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 developer position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Big Data Developer resume experience can include:

  • Experience building or supporting AWS-based solutionsSkills
  • Excellent written and verbal communication skills for varied audiences on engineering subject matter
  • Have solid problem solving skills
  • Strong software engineering and object-oriented development skills
  • Experience in continuous integration skills (Jenkins, GIT, uDeploy, CA7, etc)
  • Possess good communication skills and the ability to explain complex concepts

Education on a Big Data Developer Resume

Make sure to make education a priority on your big data developer 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 developer 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 Developer Resume

When listing skills on your big data developer 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 developer skills:

  • Strong Tableau modeling and reporting skills
  • Programming experience in either Java, Python and/or other functional programming skills
  • Effectively respond to dynamically changing work environment (Experience, Education, Certification, License and Training)
  • Strong skills on mentoring/growing junior people
  • Strong classroom experience articulating your Data Management experience
  • Good data handling and SQL skills

List of Typical Experience For a Big Data Developer Resume

1

Experience For Lead Big Data Developer Resume

  • Strong skills in multithreading, concurrency, and collection
  • Have excellent Java skills and are willing to coach other developers
  • Excellent leadership skills and able to drive solutions
  • Enhance your technical and team working skills
  • Strong experience with SPARK, HIVE, QL, Hadoop (HDFS, MapReduce), Apache Kafka, Python, Podium Data
2

Experience For Lead Big Data Developer / Engineer Resume

  • Strong Experience in ETL Informatica/BDM, Scala/Hadoop software libraries, Hue, HIVE, Impala, SQuirrel, DBArtisan software tools
  • Partner with customer experience teams to create an improved experience and be the voice for customer
  • Have a proven track record of more than 5 years Java experience
  • Have basic Unix / Linux skills
  • Strong experience with DevOps tools and processes
  • Strong Experience with RDBMS, NoSQL, or Graph Databases
  • 3+years Java development experience with strong background in UNIX and SQL
  • Understanding and related experience with Hadoop database tools (HBase, Hive, Pig, Sqoop, Spark, Flume, and/or Map/Reduce)
  • Keeping high quality standards applying knowledge and experience on testing concepts and frameworks
3

Experience For Talend / Big Data Developer Resume

  • Experience with Pub/Sub messaging (JMS, Kafka, etc.), stream processing (Storm, Spark Streaming, etc.)
  • Software engineering experience (design, coding, testing, deployment and support)
  • Experience in dealing with large scale messaging applications using Tibco, MQ, Solace etc
  • Experience working as a Software Developer using Java, R or Python
  • Experience creating and working with large data sets
  • Experience working in Shell scripting
  • Experience with one or more applications in production employing machine learning with Big Data
  • Good understanding of parallel processing frameworks: Spark and/or MapReduce
  • Experience building or supporting AWS-based solutions
4

Experience For Big Data Developer & Administrator Resume

  • Experience using Spark, Storm, Hadoop/MapReduce, SQL and other data processing tools and languages
  • Hands-on experience designing/developing solutions in Cloud (AWS)
  • Experience working with and analyzing data to layout data structures
  • Hands on experience with Server side caching (Redis), and Amazon web services or equivalent cloud service and data processing frameworks like Apache Nifi
  • Experience in Implementing ETL using Spark, PIG, Mapreduce
5

Experience For Big Data Developer Level Resume

  • Experience building large scale software applications for Cloud using Java
  • Good understanding of Big Data concepts and common components including YARN, Queues, Hive, Beeline, AtScale, Datameer, Kafka, and HDF
  • AWS experience developing data streaming pipelines
  • Experience with data warehousing tools, techniques and technologies in either of the following: Teradata, Hive, Python, Spark, NoSQL
  • Programming experience in the following areas
  • Proven ability to code using Python or Java and build tools for data ingestion, cleaning, data access and control
  • Proven capability for critical thinking and problem solving
  • Experience developing web applications and integrating with databases
6

Experience For Big Data Developer / Engineer Resume

  • Experience with complex shell scripting using Unix & Python
  • Experience in developing Jobs in Big Data Platform, Automated deployment using CI/CD
  • Experience with streaming toolsets such as Kafka, flink, spark streaming, and or Nifi/StreamSets
  • Experience with ingestion of data from multiple sources into Hadoop using core Hadoop data loading components
  • Experience working with Systems Operation Department in resolving variety of infrastructure issues
  • Experience designing and supporting RESTful Web Services is required
  • Experience with distributed computing using map-reduce
  • Experience in providing reporting, discovery analytic solutions
  • Good understanding of Database warehousing concepts and different data models
7

Experience For Junior Big Data Developer Resume

  • Experience implementing “Big-Data” applications in MapR, Hadoop, etc
  • Experience with data loading tools like Flume, Sqoop
  • Experience in writing Pig Latin scripts
  • Experience in HiveQL and analysis using HIVE QL
  • Strong Knowledge of Data Warehouse architecture and Data Modelling concepts is required
  • Functional and object oriented programming knowledge, experience in
  • Excellent knowledge of Python/OOPS concepts, big data technologies & Dataware housing tools
  • Experienced in software development lifecycle and versioning systems
  • Experience working with database platforms in large data environments (TB+)
8

Experience For Forecasting Big Data Developer Resume

  • Experience working with non-traditional data platforms: (Hadoop, Cassandra, HBase, Azure, etc.)
  • Establish effective working patterns with our UNIX Administration team
  • Experience building high-performance algorithms in scaleable languages such as Scala, Python and R
  • Experience in building scalable big data applications/analytics services is required
  • Experience programming in Java, Scala
  • Big data development experience on Hadoop platform including Hive, Impala, Sqoop, Flume, Spark and related tool to build analytical applications
  • +3 year of experience developing with Java and/or Hadoop technologies
  • Experience developing with modern JDK (v1.8+)
9

Experience For CB Tech Big Data Developer Resume

  • Experience using visualization frameworks such as ReactJS or AngularJs
  • Experience architecture and deploying highly scalable distributed systems
  • Experience working with build pipelines is desirable
  • Experience with an iterative approach to coding is desirable
  • Documented experience working with databases larger than 5TB
  • Experience in roles involving active Hadoop Development
  • Good knowledge of Big Data querying tools, such as Pig and Hive
10

Experience For Big Data-developer Resume

  • Build near real-time pipelines that operate efficiently to handle huge volumes of incoming business activity
  • Overall 10 years of experience as a developer building data centric applications
  • Experience in building application with in Java/J2EE and traditional database technologies
  • Experience working on premise or external/public cloud data warehouse environment
  • Experience building data and/or ETL pipelines
  • Experience with streaming technologies like Apache, Kafka, Spark, Apache Ignite
  • Experience in building complex distributed modern data platforms
  • Function in fast-paced environment with shifting priorities
  • Experience in Data transformations, Aggregates, Feature engineering, Distribution analysis, Outlier detection, Correlation analysis

List of Typical Skills For a Big Data Developer Resume

1

Skills For Lead Big Data Developer Resume

  • Experience reflecting above skills
  • Very good English language skills (both verbal and written)
  • Excellent written and communication skills. Be able to organize ideas and technical details; and present work clearly through the product lifecycle
  • Strong problem solver that detects and solves issues effectively
  • Good programming skills in Python and/or Scala
  • Understanding of Agile and waterfall methodologies, Prior experience in the Banking Domain
  • Reporting and presentational skills
2

Skills For Lead Big Data Developer / Engineer Resume

  • Working experience with Unix/Linux -Experience with Control-M is desired
  • Proven working experience in Designing, Building & Implementing solutions using Spark 2.3
  • Excellent understanding and implementation experience of Hadoop Architecture, including the following technologies
  • Proven experience of a complete process of building a high-quality product and releasing to customers
  • Skills to develop technical resources for methods, procedures, and standards to use during design, development, and unit testing phases of the project
  • Strong experience using Apache Spark, Spark SQL and other data processing tools and languages
  • Strong NOSQL, New SQL, MPP Databases, Modeling, programming SQL on Hadoop tools experience
  • Proven experience in documenting technical designs using UML or equivalent
  • Diligent at developing their skills and maintaining their knowledge up-to-date
3

Skills For Talend / Big Data Developer Resume

  • Strong development experience in C#/Java, Unix scripting/Python, Web service, AWS cloud computing, Big data/Database
  • Advanced programming skills, with expert proficiency in Access, SAS, and SQL, in order to facilitate the management and building of statistical models
  • Experience in developing Big Data ingestion frameworks or experience in working with ingestion tools like Podium
  • Strong hands on experience working on Core Java, AngularJ
  • Experience in Java with a strong understanding of design patterns
4

Skills For Big Data Developer & Administrator Resume

  • Scala, Python and/or other functional programming skills highly desired
  • Big Data experience with hands on coding and development experience in Java, Scala and Python
  • Good knowledge and experience in operating on Linux and/or Windows server
  • Proven management and coaching experience as a leader of Developers and technical teams
  • Strong programming experience in core Java
  • IT technical writing skills
  • Passion for exceptionally high quality and maintainable code with strong experience in working with Core Java, C++ or equivalent at the data platform level
  • Strong familiarity of the BI industry, and have understanding and experience in Big Data with Teradata or Hadoop technologies
  • Experience with SCOOP, Impala, Pig, Hive m MapReduce good to have
5

Skills For Big Data Developer Level Resume

  • Strong Java development experience mandatory
  • Work well in a team environment - collaborate & communicate effectively with technical and non-technical team members
  • Strong presentation and good communication
  • 1,5+ years of experience and good knowledge in Hadoop, Hive, Hbase, Impala, Avro/Parquet
  • Infrastructure automation skills would be beneficial (Chef, Vagrant or Ansible)
6

Skills For Big Data Developer / Engineer Resume

  • Agile/Scrum methodology experience Experience with ETL/ELT tools
  • Solid development experience with Spark
  • Provide business analysis resource and skills to small solutions engagements
  • Solid IT consulting experience in data stores and large scale implementations
  • Experience with NoSQL database experience (MongoDB, Cassandra)
7

Skills For Junior Big Data Developer Resume

  • Clear oral and written English communication skills
  • IT experience (Front end, Web Development) required with 2+ years’ experience around Hadoop related technologies
  • Experience in experience of Big Data / NoSQL frameworks, Python, Spark Streaming Data Frames, Spark SQL, Redshift or HBase or Hive or Cassandra
  • Solve complex business problems and present recommendations to team effectively
  • Strong Java Experience
  • Strong experience with scalable API, REST, Microservices development, and DevOPS tools cloud, hybrid Containers deployment
8

Skills For Forecasting Big Data Developer Resume

  • Strong experience with Java/J2EE, Scala or Python
  • Strong experience (4+ years) with Big Data (Hadoop Stack)
  • Strong experience with Scala and Spark
  • Communicate effectively with the technical and non-technical members of the project team
  • Practical ability to visualize data, communicate meaningful business insights, and utilize them effectively
  • Thorough coding skills in Scala, Python, Linux
  • Great communicator and effectively explains complex issues and concepts in simple, understandable language to technical and business audiences
  • Experience with SOLID principles and object-oriented patterns, and developed applications
  • Service oriented and fully object oriented development skills
9

Skills For CB Tech Big Data Developer Resume

  • Can effectively translate business requirements into application design
  • Able to communicate effectively in person and through written or presentation modes
  • Working Experience in real time streaming Kafka and Apache Storm
  • Programming/coding experience in languages such as Java, Python, Scala, C, C++ within a Linux/Unix environment
  • Working experience with Java, Python or a programming language
  • Working experience of Databricks or similar
  • Experience with building stream-processing systems using solutions such as Kafka, MapR-Streams, Spark-Streaming etc
  • Experience with performance tuning and concepts such as Bucketing, Sorting and Partitioning
10

Skills For Big Data-developer Resume

  • Strong understanding of the Digital Advertising/Programmatic buying
  • Experience in implementing Hadoop Data Lakes - Data storage, partitioning, splitting, file types (Parquet, Avro, ORC) for specific use cases etc
  • Experience developing with SQL, analyzing data, and optimizing query performance
  • Experience in working with Spring, Kafka or other messaging technologies
  • Experience developing solutions utilizing at least two of the following
  • Experience in developing distributed computing systems applications using Hadoop, Hbase, Hive, Spark, Scala, Kafka, No-SQL applications

List of Typical Responsibilities For a Big Data Developer Resume

1

Responsibilities For Lead Big Data Developer Resume

  • Demonstrated analytical and problem solving skills, particularly those that apply to a Big Data” environment
  • Very strong experience working on a UNIX/Linux Environment
  • Proven hands-on Software Development & implementation experience with big data technologies using Hadoop; Map Reduce technologies
  • Proven experience working with Columnar databases, Parquet, ORC formats, Datasets & DataFrames concepts
  • Strong Experience with MapReduce frameworks such as Hadoop
  • Strong Java experience on big data technology
  • Understanding of FICC business specifically orders and quote flows is a good to have
2

Responsibilities For Lead Big Data Developer / Engineer Resume

  • Experience in dealing with large scale messaging applications using Tibco, MQ, Solace etc
  • Hands-on experience writing SQL and working in Data Warehouse developing ETL processes
  • Experience manipulating, processing and extracting value from large disconnected datasets
  • Experience launching and managing production systems on Horton Works/Cloudera using Scala and Kafka
  • Experience with data storage, networking, APIs, REST APIs , stream processing, caching, etc
  • Experience developing, maintaining and supporting batch jobs/processes
3

Responsibilities For Talend / Big Data Developer Resume

  • Data governance - experienced in developing and integrating software allowing for flexible and scalable data transformation with data quality controls
  • Previous experience developing real-time streaming analytics or Machine Learning highly desired
  • Five years' experience in application design, architecture and development. Understanding of software engineering processes and system development life cycles
  • Experience developing applications on Big Data / streaming platforms
  • Hands-on experience writing stream processing pipelines
  • Experience with working on an Agile methodology, including Scrum
  • 1 Experience utilizing and extending ETL solutions (e.g., Informatica, Talend, Pentaho, Ab Initio) in a complex, high-volume data environment is highly desired
  • Experience in full lifecycle development process including design, development, testing and implementation of moderate to advanced complexity systems
  • Strong at identifying problems, solving complex problems with simple solutions
4

Responsibilities For Big Data Developer & Administrator Resume

  • Hands on experience designing and implementing software on flexible public cloud platforms
  • Coding, testing and applications development experience
  • A proven track record building and using RESTful API's
  • Experience in debugging issues, resolving performance issues and coordination with external teams (as needed) until successful resolution of issues
  • Experienced in designing and implementing data layers and middle tiers aimed at business intelligence applications
  • Experience in distributed systems design and development using Java/C++/Python/Kafka/Perl/UNIX scripting
5

Responsibilities For Big Data Developer Level Resume

  • Experience in implementing big data solutions using one of the technologies: Hive, Impala, MapReduce / YARN, Kafka, HBase or Spark
  • Experience working with relational databases, MPP systems and Hadoop distributions
  • Experience with integration of data from multiple sources including from NoSQL databases such as HBase
  • Experience with data modeling Ability to clearly document solution designs
  • Experience working with Amazon AWS
6

Responsibilities For Big Data Developer / Engineer Resume

  • Experience in a similar hands on software development building Data platforms
  • Or, an internship with heavy experience working in the Data Management space
  • Technical experience in an IT data/developer/engineering role
  • Experience building high-performance algorithms in scalable languages such as Java, Scala, Python and R
  • Experience in Kafka, Microservices, Web Services and writing Restful APIs
7

Responsibilities For Junior Big Data Developer Resume

  • Experience with implementing metadata management system on big data platform
  • Strong development track record using Agile development methodologies
  • Hands on Experience on Scala, Spark /python, Spark Grapx/Graphframes, Mlib distributed computing
  • Minimally 2 years’ experience developing with modern JDK (v1.7+)
  • Experience with all aspects of data systems (both Big data and traditional) including database design, ETL, aggregation strategy, performance optimization
  • Comprehensive Data Warehousing and BI experience
8

Responsibilities For Forecasting Big Data Developer Resume

  • Experience in advanced Shell scripting (Linux /Redhat 6.x and more)
  • Experience in processing large quantities of structured and unstructured data (NoSql, HBase)
  • Experience in implementing security policies on Hadoop, an asset
  • Excellent command of developing Python, Spark and Scala scripts
  • Good knowledge of at least one scheduling tool
  • Experienced in working with multi-regional and offshore development teams
9

Responsibilities For CB Tech Big Data Developer Resume

  • Exhibit a strong passion for software development and learning new technologies
  • Experience developing in Big Data architecture, Hadoop stack
  • Hands-on experience working in RDBMS such as Oracle, DB2, MySQL and PostgresSQL
  • Strong SQL knowledge including stored procedure creation
  • Experience with batch and stream processing systems tools
  • Experience with ETL,OLAP, BI and data modelling
  • Experience with Spark Streaming and Kafka in large scale enterprise environment is highly desired
10

Responsibilities For Big Data-developer Resume

  • Partner with UI engineering teams to enable new customer experiences
  • Experience delivering IT solutions in a team environment
  • Experience with the Hadoop ecosystem, including Hive
  • Experience with delivering IT solutions in a team environment
  • Experience with distributed systems, data warehousing, analytics, and business intelligence
  • Extensive experience with Java technologies, preferably including Map-Reduce,
  • Experience developing ETL applications

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