Data Analytics Developer Resume Samples

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Z Blanda

Zoe

Blanda

35043 Fredy Extensions

Philadelphia

+1 (555) 198 7393

35043 Fredy Extensions

Philadelphia

Phone

p +1 (555) 198 7393

Experience Experience

Dallas, TX

Data Analytics Developer

Dallas, TX

Pagac Group

Dallas, TX

Data Analytics Developer

Conceptual design and development of data ingestion processes, including development of parsing algorithms and scripts to automate log ingestion and synthesis
Assist with the development of project status briefings and dashboards for Agency executives
Development of dashboards and reports to assess data performance and quality control
Work closely with the project teams to architect and develop the best technical design and approach for data
Make concrete contributions to overall system robustness, performance and resiliency, security access control as well as operational monitoring
Working knowledge of big data technologies (Hadoop, Hive, Spark, Pig)
Identification of analytics approaches, and development of supporting analytical data sets

San Francisco, CA

Data & Analytics Developer WF Data & Analytics

San Francisco, CA

Tromp-Jacobi

San Francisco, CA

Data & Analytics Developer WF Data & Analytics

Prior role developing/managing/working with ETL & reporting tools (Informatica 9x, Business Objects XI R2, R3, R4
Prior role developing/managing/working with ETL & reporting tools (Informatica 9x, Business Objects XI R2, R3, R4 & Unix scripts
Perform unit testing and system integration testing in development environment
Work with team on data warehouse development of schemas and joins to support and enhance current data model/sources
Development of ETL process using PL SQL, Informatica & Unix scripts/jobs
Business Objects backend development, including objects and universe design
Develop technical design specifications and validate approach during internal reviews

present

Los Angeles, CA

Senior Data Analytics Developer

Los Angeles, CA

Mayer-Bauch

present

Los Angeles, CA

Senior Data Analytics Developer

present

Establishes a close working relationship with Team Excelsior teammates and their partners
Develops back-end ETL and workflow processes and/or front-end reporting and analytics products using Informatica, ActiveBatch, Cognos,
Follows the established Excelsior BI SDLC, which agrees with the DaVita IT policies and procedures
Create functional & technical documentation related to visualization solutions
Performance-based rewards based on stellar individual and team contributions
Advanced level of SQL programing and query performance tuning techniques
Creates and prepares Change Requests for migratin through SDLC process

Education Education

Bachelor’s Degree in Computer Science

Ashford University

Bachelor’s Degree in Computer Science

Skills Skills

Knowledge of or strong desire to learn various Financial Products (equities, fixed income, swaps, futures, options, etc.)
Proven ability to step outside role confines, work independently when necessary, help teach and enable other team members
A demonstrated ability to quickly learn new tools and languages
Great communication skills, team player, self-starter, demonstrated strong work ethic
Excellent interpersonal skills and professional approach
Strong attention to detail
Strong analytical and problem solving skills
Great interpersonal skills
Highly organized
A working knowledge of Git and Jira

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Data Analytics Developer Resume Examples & Samples

Build highly scalable technologies, and services that deal efficiently with large amounts of customer data
Work with databases and other internal and external platforms to extract customer-related information to support various strategic sales analytics initiatives
Automate metrics to track and measure effectiveness of our analytics initiatives using complex SQL queries
Utilize the knowledge of development languages such as Perl/Python or Java
Develop, design and maintain BI reports or any visualization solutions
Translate functional requirements into technical specifications
Bachelor's (preferably Master's) degree in Computer Science, Engineering or a related discipline
Solid experience with large scale software development and deployment, preferably in the financial industry
3+ Sybase, MS SQL Server, or Oracle database experience (SQL, stored procedures and functions, data modeling)
3+ years of experience with any high-level, general-purpose programing language such as Perl, Python or Java
Experience with any Reporting Tools/Engines such as BIRT (preferable), Business Objects, Crystal Reports or MS SSRS
Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive,etc.)
Experience working of system integration projects
Strong knowledge of Systems/Applications design and architecture
Ability to work under pressure and take ownership of issues

Data Analytics Developer Resume Examples & Samples

1) Delivery of Data, Business Intelligence and Analytic Solutions
Collaborate with Hadoop CoE, immediate team members and business partners to understand their data and analytics needs, and develop the required data infrastructure within the Hadoop data lake using Apache Hadoop ecosystem of technologies, DB2, SQL, Informatica and Diyotta
Collaborate with business partners and data scientists to deliver highly complex, creative, cost-effective and robust Analytic and BI solutions using Spark (Python, Scala, Java), and also off the shelf tools (SAS, Cognos, Tableau)
Contribute to the delivery and implementation of technical solutions in a dynamic and complex environment
2) Data Governance, Testing and Compliance
Follow bank governance policies and change control processes in solution development and implementation
Contribute to internal and external audit activities under the guidance of the Director in order to meet regulatory compliance requirements
3) Relationship Management
Solid programming skills in Java, Python, C, C++
Knowledge of Apache Hadoop ecosystem and Spark framework
Solid knowledge of database programming (SQL). Knowledge of other business intelligence technologies and data warehouse tools (e.g., DB2, Cognos, Informatica) is an asset
Strong interpersonal, written and verbal communication skills. Ability to coordinate between project team members and business stakeholders to translate complex business requirements into cost- effective and robust solutions
Solid understanding of the Software Development Life cycle (SDLC), with the ability to work creatively and analytically in an agile development environment
Excellent organizational, planning and time management skills
Knowledge of the financial services industry is an asset
A University degree, specializing in Computer Science/Computer Engineering or a related discipline
Experience in data, analytic and application development is an asset

Data Analytics Developer Resume Examples & Samples

Bachelor’s Degree in Computer Science, Engineering, Math, or Hard Sciences
In-depth knowledge of Python
Knowledge of or strong desire to learn various Financial Products (equities, fixed income, swaps, futures, options, etc.)
Solid problem-solving and trouble-shooting skills
Great interpersonal skills
Strong attention to detail
2+ years of professional Software Development experience preferred (in the financial industry a plus)
Master's Degree and PhD
Previous experience with Pandas, Numpy, or other libraries
Working knowledge of Oracle PL/SQL
Knowledge of Java, C++, or other programming languages
Knowledge of BIRT or similar report design program
Quantitative background or aptitude

Data Analytics Developer Resume Examples & Samples

BaU Trade Surveillance platform that supports market manipulation surveillance covering major Corporate & Investment Banking (CIB) Market products and Information Barrier Surveillance
Strategic Trade Surveillance platform that supports market manipulation surveillance for multiple asset classes, FX, F&O, Equities, Commodities, Fixed Income and also serve as an Analytics Repository for major CIB Markets products
Vendor Trade Surveillance software packages including SMARTS.Broker from NasdaqOMX as well as Actimize ETS Surveillance from NICE
Hands-on end-to-end application development in both strategic and BaU Trade Surveillance platforms
Make concrete contributions to overall system robustness, performance and resiliency, security access control as well as operational monitoring
Provide L3 support to diagnosis and resolve issues relating to the upstream data feeds, surveillance model and analytical batch processing, and application functionality issues of the Trade Surveillance in-house platforms and vendor software packages
Collaborate with relevant partnering team in Enterprise Technology organizations – Corporate Technology & Risk (CTR) Operate, CTR Release Management, GTI Infrastructure Teams (DBA, SA, Storage, Network, etc.) and rest of the LCST Surveillance AD to ensure a robust and resilient operational environment for global Compliance business
8+ years of Application Development experience in Compliance Surveillance, Investment Banking Front-office or Middle Office Technology organizations
Experience in directly facing off end users in Compliance, Front Office or Middle Office to provide technology support
5+ years of strong core Java development experience. Any Java certification is highly preferred
5+ years of experience in Oracle, Sybase or MS SQL Server
5+ years of development experience with Unix/Linux shell scripting and Python
Experience with methodologies and technologies used in data analytics
Experience with TDD, rapid delivery and industry SDLC best practices
Product knowledge from working with one or more Investment Banking trading products – FX, Equities, F&O, Commodities or Fixed Income would be an advantage
Ability to work under pressure and multiple concurrent work streams. Strong sense of urgency and initiative to take ownership of issues, resolve problems and propose solutions and re-engineering improvements
Ability to work with geographically distributed and culturally diverse development organization

Big Data Analytics Developer Resume Examples & Samples

3+ years with Cassandra
3+ years with Solr/Elastic Search (preferably in conjunction with Cassandra)
2+ years with Spark/or Hadoop

Data & Analytics Developer WF Data & Analytics Resume Examples & Samples

Develop technical design specifications and validate approach during internal reviews
Development of ETL process using PL SQL, Informatica & Unix scripts/jobs
Coordinate and validate code movement between DEV and STAGE with admin team
Bachelor’s degree in IT or IT-related field. 5-6 years of data warehouse, SQL, and/or ETL technical experience
Should be adept in data warehouse concepts and new emerging industry trends
Experience working with Informatica 9x
Experience working with Business Objects 4
Experience working with SQL, & PL SQL
Knowledge of working in an iterative manner (in the spirit of Agile/SCRUM methodologies)
Experience working with business partners and balancing relationship with internal IT providers

Senior Data Analytics Developer Resume Examples & Samples

Develops back-end ETL and workflow processes and/or front-end reporting and analytics products using Informatica, ActiveBatch, Cognos,
Tableau, Excel, SQL Server, Oracle, and other technologies as needed
Follows the established Excelsior BI SDLC, which agrees with the DaVita IT policies and procedures
Designs processes that are clear, concise, repeatable, and applicable to a wide range of reporting needs
Recommends improvements and functional changes and updates to planned and existing processes
Creates and prepares Change Requests for migratin through SDLC process
Establishes a close working relationship with Team Excelsior teammates and their partners
Attends Team Excelsior meetings as well as Excelsior BI meetings
Coordinates with other Team Excelsior developers, as well as other members of Team Excelsior, at all levels, as needed
Communicates with teammates and partners early and effectively
Bachelors degree in Computer Science or other relatable area of study, and/or completion of relevant training programs or courses, and/or 5 years relevant working experience required
1 year working as the lead or supervisor of a team or project required
Expert in the following technologies: Informatica PowerCenter, Cognos Report Studio, Tableau, SQL Server SSIS
Thrives in a collaborative and fast paced work environment
Ability to self-manage and self-motivate
Executes on instructions well, takes the initiative, and makes decisions timely and with the correct amount of urgency
Works evenings/nights/weekends when necessary

Data Analytics Developer Resume Examples & Samples

Experience of scalable data management tools including Relational and SQL databases (ideally Oracle)
Demonstrated experience of analytical development languages (ideally Python)
Take initiative in evaluating and adapting new technical approaches from data science research
Partner with the Tech Advisory Business Analyst to understand requirements and translate into a technical solution
Solve complex information requirements problems via a combination of judgment and proven analytic practices
Demonstrated knowledge of data modelling
Understanding of probability, statistics, and time series analysis
Ability to harness multiple technology teams across Banking technology to drive the PoC
Collaborate & brainstorm with business stakeholders to understand and analyse needs. Ability to communicate findings and obstacles
Great communication skills, team player, self-starter, demonstrated strong work ethic
Bachelor's degree in MIS, Computer Science, statistics, mathematics, physical sciences or other quantitative discipline

Big Data & Analytics Developer Resume Examples & Samples

Bachelor's degree and eight years related work experience or twelve years related work experience post high school
Three years software application experience
Experience working in a Hadoop Ecosystem
Hortonworks or Cloudera experience preferred
Experience with Streaming Analytics
Spark Streaming
Kafka/Storm/Flume
Experience with Open Source Programming
Scala/Spark, Map Reduce, Tez, PIG, R, Python, Java, C++
Experience with Hadoop System Administration and Architecture (Ambari, Zookeeper, Ranger, SmartSense)
Experience with HDFS, HIVE and NoSQL DB (Hbase, MongoDB)
Experience with Visualizations on Hadoop (R Shiny, Zeppelin, iPython, Microstrategy, Tableau)
Experience with Analytics on Hadoop (Aster, Alteryx, R, Python)
Experience working with high volume, high velocity data
Must have great communication skills
Must have great presentation skills
Must be able to work with little direction or with vague direction
Must be a 'hacker' and have a hacker mentality
Experience within Telco a Plus
Experience within Digital a Plus
Must have strong Business Acumen

Senior Data Analytics Developer Resume Examples & Samples

Accountable to execute Advanced Analytic solutions across the globe, managing all internal BIS activities and interchange with external parties while keeping an eye on lift and shift opportunities. There will be strong oversight and partnership within the PAC team until business knowledge and statistical competence around CPG approaches can be developed
Accountable to execute statistical methods, database creation and ETL as well as applications (including Tableau or Microstrategy visualizations and JAVA development)
Requires strong communications with the team, business and extended IT teams
Solid business understanding of CPG and PepsiCo with a quick acumen for new subject areas
Able to take all opportunities to sell PAC's capabilities to new constituents
Quickly able to design advanced solutions and estimate effort / cost
Strong ability to generate business report-outs with meaningful insights (PPT)
Able to simplify complex analytical solutions for the business as well as extended IT team members
Bachelors required
Highly analytical, motivated, decisive thought leader with solid critical thinking able to quickly connect technical and business 'dots'
Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities and projects at the same time
Able to understand statistical solutions and execute similar activities
Solid skills in creating databases, SQL, extract, translation and load technical capabilities (5+ years' experience)
Experience in applications development, JAVA a plus (4 years' experience)
Strong business acumen and ability to communicate in business language
Can translate complex business issues into technical solutions and able to simplify complex technical solutions in simple business terms

Big Data Analytics Developer Resume Examples & Samples

Building a cloud based platform that allows easy development of new applications
Building well-formed APIs and services to allow the wider Elsevier ecosystem to easily integrate with our applications
Be interested in working for a global organization known for doing good things around the world
Possess a desire to work within an advanced tech stack including AWS and Cloud based computing while surrounded by a brilliant set of technologists
Development on the JVM using Scala and possibly other JVM languages, knowledge of Python or R is a bonus
Familiarity with tools such as Mesos or Docker and an instinct for automation
Excellent communication skills that enable you to work with distributed teams across multiple time zones
Agile experience with Scrum/Kanban/XP, and the use of Jira and Confluence
Web service development using frameworks such as Dropwizard, Akka, Lagom or similar
Produce documentation of all software and processes
Solid Pension Plan, with a choice between a collective pension plan an individual pension plan
Reductions to several personal insurance packages due to our collective agreements

Data Analytics Developer Resume Examples & Samples

Responsible for driving Baker Hughes data at the Enterprise level
Collaborate with the Business Stakeholders and the Data Engineering Team to design and develop tools and utilities, optimizing the correlation of disparate data sets to meet the needs of the business
Lead the design of the data ingest process across all internal and external data sources
Work in conjunction with data owners to implement relevant business rules, enabling a consistent, correlated data set across multiple data sources
Work closely with the project teams to architect and develop the best technical design and approach for data
Contribute to and oversee the delivery of high quality data that supports the Company’s proprietary software products
Develop data governance to ensure implementation of design and high quality standards
Capability of handling several deadline-driven tasks at once, and comfort with shifting priorities
High-level multi-tasking skills and ability to operate in a fast-paced environment
Proven ability to step outside role confines, work independently when necessary, help teach and enable other team members
Will work in conjunction with Data Architect. Handles special projects, as assigned
Bachelor's degree from accredited university in computer science with 10 years’ experience or MIS with 8+ years’ experience in software processes, systems architecture and data lifecycle management
Highly proficient with Oil & Gas industry wellsite data
Expert knowledge of oilfield vocabulary
Experience in data transformation, governance and storage
Prior experience automating data transformation and extract
Proficient in C# .NET programming
Experience in production optimization for large data sets
Understanding of Analytics fundamentals (Business Intelligence through machine learning)

Senior Data Analytics Developer Resume Examples & Samples

Provide visualization solutions to educate and communicate to internal clients, teams, and fans by applying rich visualization design to quantitative and qualitative data
Create and design visualization solutions in both industry-standard and custom visualization platforms (e.g. SAP Lumira, Tibco Spotfire, Tableau, D3, VEGA)
Lead and mentor data visualization developers in information presentation & delivery
Create functional & technical documentation related to visualization solutions
Provide thought leadership, best practices, and standards required to deliver effective solutions to internal clients, teams, and fans
5 years' experience in the fields of Data Visualization, Business Intelligence or Information Management
2+ years of experience with data visualization designing high value-add solutions and performing administrative activities across a multi-environment infrastructure
Exceptional analytical, conceptual, and problem-solving abilities
HTML, Javascript, SQL knowledge a plus
Previous experience working with basketball or sports data a plus
Experience using SAP HANA and SYBASE
C#, .net development skills

Data Analytics Developer Resume Examples & Samples

Hands-on developer (ideally Java, J2EE) with a particular focus on JSP, Servlets, Jquery, data and analytics, machine learning predictive models
Requirement gathering, bug fixing and testing
You will also need to be a self-motivated, efficient, reliable team player, able to communicate effectively with multi-disciplinary personalities to find optimum solutions
PHD in , Computer Science, statistics, mathematics, physical sciences or other quantitative discipline

Big Data Analytics Developer Resume Examples & Samples

Strong interpersonal and communication skills, negotiation and presentation skills
Strong analytical and diagnostic abilities
Excellent organizational skills, ability to prioritize and juggle multiple tasks simultaneously
A strong sense of curiosity and creativity
Demonstrated degree of initiative and ability to work with little supervision in a cross-functional team
Ability to perform in a multi-task and dynamic team environment
High tolerance of ambiguity
Self-driven, free thinker, collaborative innovator personality
Process driven (from start to finish)
Strong priority and project management skills
Strong time management skills – ability to coordinate and delegate multiple initiatives
Strong customer service orientation

Senior Data & Analytics Developer WF Data & Analytics Resume Examples & Samples

Data warehouse development of schemas and joins to support and enhance current data model/sources
Build/analyze/enhance Tableau data source connections and extracts
Bachelor’s degree in IT or IT-related field. 7+ years of data warehouse, SQL, and/or ETL technical experience
Prior role developing/managing/working with ETL & reporting tools (Informatica 9x, Business Objects XI R2, R3, R4 & Unix scripts
Location: Bangalore, India
Experience working with Oracle Essbase cube technology
Experience writing Unix, Linux, and Batch scripts
Experience with HRIS or Workforce solutions/analytics

Senior Data Analytics Developer Resume Examples & Samples

Design, develop, test and deploy business intelligence solutions such as OLAP models, dashboards and ETL to suffice business partner's needs
Interact with business partners to elicit requirements for data and analytics centric solutions
Mentor business partners and other members of the team on the use of corporate information assets and information analytics technologies available to drive data analytics processes
Review and optimize current processes
Ensure data quality, completeness, accuracy, and timeliness are built into every BI Solution
Collaborates with other developers and provides significant contributions to develop specifications to resolve business client questions, problems, and to address enhancement needs
BS and 8+ years or equivalent experience
5 years of experience employing data warehouse lifecycle principles and theories, including knowledge dimensional modeling
Advanced level of SQL programing and query performance tuning techniques
Strong development experience using Microsoft BI (SSRS, SSAS, Power BI) stack
Experience with Oracle 11, 12 and PL/SQL
Solid understanding of BI and analytics landscape, preferable in large-scale development environments
Knowledge of all phases of software development including design, coding, testing, debugging, implementation, and support
Ability to collaborate and excel in a multi-functional team environment
A strong cross-functional technical background and a willingness to expand his/her leadership and technical skills
Experience with banking data, including deposits, mortgages, auto loans, ACH transactions is a plus
Understanding of Hadoop and big data technologies is a plus

Data Analytics Developer / Analyst Resume Examples & Samples

Pursuing a degree in Data Science, Business Analytics, Data Analytics, or a related field from an accredited university
Prior experience with software development
Prior experience querying databases
Working knowledge of one or more of the following standard and/or emerging data analytics tools: Excel, Tableau, Hadoop, SQL Server, Business Objects, R, Python, SAS, SPSS, and/or Matlab
Working knowledge of Microsoft Business Intelligence tools such as SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), and SQL Server Analysis Services (SSAS)
Working knowledge of SAP Business Intelligence tools such as HANA Studio, Information Design Tool (IDT), WebIntelligence (WebI), Lumira, and Design Studio
Working knowledge of data visualization tools such as Tableau Desktop
Prior experience building predictive models with accounting, engineering, supply chain, and/or manufacturing data
Prior experience with data modeling and data analysis
Prior experience working with Microsoft Visual Studio and Team Foundation Server (TFS)
Ability to work in a collaborative, virtual, and team-based environment

Data & Analytics Developer WF Data & Analytics Resume Examples & Samples

Development BO and Spotfire reports
Business Objects backend development
Work with team on data warehouse development of schemas and joins to support and enhance current data model/sources
Build/analyze/enhance data source connections and extracts
Prior role developing/managing/working with ETL & reporting tools (Informatica 9x, Business Objects XI R2, R3, R4
Should be adept in datawarehouse concepts and new emerging industry trends
Knowledge and experience with Oracle Views

Data Analytics Developer Resume Examples & Samples

Programming experience (ie Java, C, .Net or Object Oriented)
Demonstrated leadership and teamwork abilities
Problem solving abilities
Experience with Databases and SQL
Knowledge of SAP BusinessObjects
Knowledge of SAP Data Services
Knowledge of Business Analysis or Mathematical and Statistical Modeling
Knowledge of Agile Methodology
Knowledge of SAP HANA
Knowledge of SAP Business Objects Application tools
Knowledge of one or more of the following languages; R, Python, SAS, SPSS, MATLAB, Mathematica

Data Analytics Developer Resume Examples & Samples

Software development experience (ie Java, C, .Net or Object Oriented), technical writing , communication and presentation skills
Experience with data visualization and report development
Experience with Business Analysis and/or Data Analysis and/or Big Data
Knowledge of SAP Data Services or ETL tools
Knowledge of SAP ERP basic principles, tables, transactions, master data
Knowledge of Mathematical and Statistical Modeling
Demonstrated teamwork abilities
Knowledge of one or more of the following languages; Java, C++, R, Python, SAS, SPSS, MATLAB, Mathematica
Desire to continuously learn and be up to date with new technologies

Data Analytics Developer Resume Examples & Samples

Software development experience (Java, C, .Net or Object Oriented), technical writing , communication and presentation skills
Strong collaboration skills
Knowledge of one or more of the following languages; Java, C++, R, Python, - SAS, SPSS, MATLAB, Mathematica

Data Analytics Developer Resume Examples & Samples

Code, test, debug, and document Data Warehouse, data processing and analytical back-end applications of moderate complexity
Translate customer requirements and formulates detailed specifications from which programs are written
Use Big data technologies to enrich and transform data and do data analytics
Participate in transition of the data processing infrastructure to a big data/cloud framework
Design, build and maintain our data warehouse/data lake environment
Participate in rotating 24hr on-call support

IT Business Data & Analytics Developer Resume Examples & Samples

Requires a BS/BA degree or any combination of education and experience, which would provide an equivalent background
4-5 years’ experience in data warehouse and data integration principles
PC, spreadsheet, and database skills, as well as experience in standard Business Information tools and programming/query languages is also required
Healthcare background (medical and pharmacy claims, provider, member, authorizations)
Facets, EMR/EHR experience
Knowledge of SQL – stored procedures, functions, dynamic SQL, triggers, etc
Database modeling experience – design of relational and dimensional data models
Understanding of data integration problems, including validating and cleaning data
Experience in overall data solutions (ETL, ODS, Data Marts, Cubes, and Reporting)
Excellent analytical, communication, problem-solving, and planning and organizational skills required
Demonstrated ability to lead and plan complex, large-scale projects is an added plus

Data & Analytics Developer Resume Examples & Samples

Utilizing technical expertise; Creates system requirements, performs design and analysis, and coding and unit testing of complex to highly complex system functionality and/or defect correction across multiple platforms. Identifies ideas to improve system performance and impact availability. Resolves complex technical design issues
Provides functional and/or technical guidance in evaluating applications systems or evaluating requests for proposals. Coordinates changes and influences and prioritizes tasks with business or technical departments
Analyzes and influences technical, system, and/or user requirements. Identifies and creates solutions to improve system performance and availability. Facilitates root cause analysis of system issues to minimize impact and future occurrences
Creates system documentation/play book(s) and serves as a lead technical reviewer and contributor in requirements, design and code reviews. Typically serves as a resource to the business
Develops accurate estimates on work packages and ensures the accuracy of estimates developed by less experienced internal and third party team members. Analyzes and designs specifications for less experienced internal and third party team members to execute. Acts as a technical resource throughout the development life cycle. May also actively contribute to the technical and soft skills development of team members
Assists team leads and management with delegation of technical work packages to cross-functional and third party team members for execution through the full development life cycle. Keeps management appropriately informed of progress and issues
Coordinates system application transition from development teams to maintenance and production teams, and/or constructs and implements necessary controls to assure system/application traceability

Lead Data Analytics Developer Resume Examples & Samples

Support and lead the design and development of “end to end” electronic transaction visibility, including large scale processing, integration, and analysis of system logs and databases
Conceptual design and development of data ingestion processes, including development of parsing algorithms and scripts to automate log ingestion and synthesis
Support the design and implementation of data integration across data analytics infrastructures
Identification of analytics approaches, and development of supporting analytical data sets
Develop methodologies and analytical approaches to incorporate machine learning
Assist with the development of project status briefings and dashboards for Agency executives
Bachelor’s degree in a computer science, applied mathematics or similar technical disciplines required
Highly focused, detail-oriented temperament are required
Experience in the design, development, integration, testing, and implementation of a large-scale data sets
Solid knowledge of data analytics tools and methods; knowledge and experience with SAS analytics, R, or a demonstrated ability to quickly learn new tools and languages
Knowledge of Hadoop is a strong preference
Working knowledge of data processing tools/languages including Perl, SQL, Bash, etc
Experience in developing statistical models, and knowledge of machine learning approaches and algorithms
Five or more years of progressive experience in data analytics; specific focus on internet web transactions is preferred
Experience in the design and development, integration, testing, and implementation of a large scale analytics infrastructures
Excellent communication, written, and organizational skills
Project management skills preferred
Experience with, or exposure to Hadoop and Splunk is considered a plus

Data Analytics Developer Resume Examples & Samples

Support the design and development of “end to end” electronic transaction visibility, including large scale processing, integration, and analysis of system logs and databases
Development of dashboards and reports to assess data performance and quality control
Interact with client project team members and operational staff
Bachelor’s degree in a computer science or a technical discipline required
Five or more years of experience developing production quality Perl code
Experience in the design, development, integration, testing, and implementation of a large scale data sets
Solid knowledge of data processing tools/languages including Perl, SQL, Bash, etc
Experience with other languages that have advanced the candidate’s skill at building efficient code are valued
Proficiency in the Linux command line environment
Strong ability to navigate and process large log files in a Linux command line environment, including use of vi editor for application development
Strong analytic and creative problem solving abilities are required
Highly inquisitive with an ability to work both independently and in collaborative setting
Strong teamwork, communication and interpersonal skills
Strong communication, written, and organizational skills
Ability to work on multiple aspects of a large scale project which includes prioritizing, tracking, attention to detail, follow-up and follow-through to project completion
Comprehensive knowledge and understanding of Internet web transactions, traffic flows are preferred
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information

Data Analytics Developer Resume Examples & Samples

3+ years of appropriate technical experience
Relevant experience with Java8, Scala, or Python
Strong Linux command line skills
Good understanding of Hadoop eco-system
Hands-on Data Mining and analytical work experience
Knowledge of data analytics tools and methods
A demonstrated ability to quickly learn new tools and languages
Knowledge and experience with SAS, R, or SPSS
Experience in developing statistical models and algorithms
Working knowledge of data processing tools/languages including Perl, Python, etc
A working knowledge of Git and Jira
Experience with Data Preparation, Engineering, and Analytic tools
Knowledge of machine learning approaches and algorithms
Experience with, or exposure to Hadoop and Spark
Familiarity with financial market data

Big Data & Analytics Developer Resume Examples & Samples

Interest in learning new things
Technical aptitude to quickly learn new things and initiative to stay current, as Cloud, Data and Analytics are rapidly evolving in the industry
Solid relationship management skills, as the team collaborates externally with vendors and internally with many business and IT areas to quickly deliver true business value to the FAS business
A background in data, with reporting and analytics a plus
Experience with java, REST, and AWS a plus
Vendor Product Evaluation and integration experience a plus
Provides senior level system analysis, design, development, and implementation of applications and databases for client/server-, Web-, and/or PC-based software or middleware. Integrates third party products
Translates technical specifications, and/or logical and physical design into code for new or enhancement projects for internal clients. Develops code and test artifacts that reuse subroutines or objects, is well structured, backed by automated tests, includes sufficient comments and is easy to maintain. Writes programs, appropriate test artifacts, ad hoc queries, and reports. Employs contemporary software development techniques to ensure tests are implemented in a way that supports automation
Elevates code into the development, test, and Production environments on schedule. Provides follow up Production support. Submits change control requests and documents
Thoroughly understands software development methodology. Thoroughly understands architecture standards. Trains and mentors staff with less experience. Resolves issues elevated from staff with less experience
Participates in design, code, and test Inspections throughout life cycle to identify issues. Explains technical considerations at related meetings, including those with internal clients
Performs systems analysis, including system requirements analysis and definition (e.g., prototyping), and logical and physical design
Writes the system/technical portion of assigned deliverables. Assists technical team members with the system/technical portion of their deliverables (e.g., systems testers, test plans). On small teams, the developer may write these items
Is highly functional on large, matrixed project teams. Interfaces with cross functional team members, including database administrator, IT security, project manager, technical writer, and clients. Communicates systems issues at the appropriate technical level for each audience
5 years developer or systems analyst experience
Strong, demonstrated analysis and problem solving skills
Advanced knowledge of the following development practices and concepts
Production acceptance, including elevations and change management
Interfaces, feeds, and event schedules
Quality assurance methodology and Inspections
Use case standards
Systems analysis and design techniques
System/subsystem requirements
Libraries, reusable code, and/or object oriented standards
Screen, report, and query design

Junior Associate, Data Analytics Developer Resume Examples & Samples

Develop and implement new software, maintain and improve existing software
Ensure that software functionality is implemented with a with a focus on code optimization and organization
Troubleshoot application issues and coordinate issue resolution with operations, functional, and technical teams

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