Hire Big-data Developers & Contractors | LynxPro

Find Big-data Developers

We use a highly curated database to find the candidate with the skills most suited to your business’s needs. Browse the talent below, find the perfect fit and our qualified customer service agents will take care of the rest.

Mongodb Architect

Development Design and Infrastructure setup,schema design ,performance improvement more
Skills
computer-science
machine-learning
nosql
mongodb
spark
.net
ajax
angularjs
apache-maven
apache-webserver
asp.net
bi-/-dwh-(data-warehouse)
c#
c++
html/xhtml
java
javascript
linux
ms-sql-server
python
redis
scala
seo/sem---search-engine-optimization-&-marketing
sql
vb.net
windows-xp/2000/vista
xml
[+] 24 more...

Big Data Developer

Overall 7 years of experience in Information Technology includes Core Java, Hadoop Big Data Echo System, Tableau and SIEBEL CRM. Fast learner with 2 years Hadoop Big Data experience while leading multiple projects from requirement gathering to successful implementation. more
Skills
hadoop
siebel-systems
soap-ui
sql
tableau
core-java
r
[+] 4 more...

Talend Certified Architect

I am a Talend Certified Architect (in Data Integration and MDM issued by Talend Inc. – www.talend.com) and Pentaho Certified Consultant (issued by Accenture Inc. – www.accenture.com). Extensive knowledge of 5 Talend Products: DI, DQ, MDM, ESB and BIG DATA.
I have thirteen years of proven track record in the fields of Business Intelligence, Data Warehousing, Data Quality, Data Integration, Master Data Management and Governance in TELCO, Energy Utilities (Electricity, Water) and Banking Industry in International environments (EMEA and North America).
AWS Certified Cloud Practitioner (issued by Amazon Web Services – www. aws.amazon.com).
Deep Academic Knowledge of Big Data Platforms/Tools (tool such as Talend) and Amazon Web Services (AWS) - Currently practicing and willing to work in an actual project.

I always enjoy new challenges and welcome the opportunity to further develop these skills as to benefit a company.
As a Data and Solution Architect, Data Analyst, Developer and Business Analyst, with a Master’s in Computer Engineering, I have been working for, and in partnership with, the industry leaders in IT Consulting Companies and many major Clients – Accenture, NTT Data, Affinity Water, ESB Ireland, Citigroup Inc, Wind Telecommunication Spa, TIM Telecommunication Spa and TELECOM Italia Spa.
I am seeking a position in your company in which I may utilize, hone further and contribute my skills and expertise which I have successfully developed to a high degree.
I have excellent organizational and communication skills, an outstanding work ethic, the ability to work well in both team-oriented and self-directed environments along with the ability to follow the whole software systems development life cycle.
My counterparts regard me as a high-calibre specialist with a global vision of information technology, and a broad knowledge of business models, needs and trades in a wide range of markets.
At my current employer, Citigroup Inc. (American Multinational Investment bank and financial services corporation - www.citigroup.com) in Dublin, Republic of Ireland, I work for the Departments of Fund Account and Trade Processing - across several Global Projects of Trading and Multi Funds.
I was born and raised in Italy but as a young child it was my dream to work abroad.
I would welcome the opportunity to discuss how I could help you fulfill your corporate needs. I can be reached by:
• Mobile phone at (+ 44) (0) 74-48-42-00-37, (+ 353) (0) 83-150-37-68
• Email at francisdinapoli@gmail.com
• LinkedIn page at http://www.linkedin.com/in/francescodinapoli
A meeting will allow me to make better you evaluate about my skills and my motivation.

Thank you for your consideration.
more
Skills
aws
big-data
talend
data-warehouse
sql
[+] 2 more...

Senior Data Engineer

• Passionate problem solver with 10 years of experience in IT Industry across various roles.
• Proven track record in Business & Data Analysis and End to End IT Solution Delivery.
• Design, Develop and Optimize entire Data Pipelines including Data Science algorithms in production at scale with operational reliability.
• Strong data analytical skills to derive patterns and deep dive into data to deliver customer focused solutions to improve advocacy and increase revenue.
• Assess organizational Data needs and architect the right approach, migrate traditional warehouse platforms to Big Data if necessary.
• Design and Develop prototype solutions in-house for trial purpose and define business cases and internal automations to improve productivity and streamline process.
• Stakeholder management across industry partners and various business units to deliver successful large-scale projects.
more
Skills
bigdata
python
spark
hadoop
hive
kafka
oracle
postgres-sql
teradata
[+] 6 more...

Machine Learning Consultant

Expertise in the development of forecasting models (machine learning and stochastic predictive models)
In-depth knowledge and skills to analyze large datasets using both statistical and advanced data mining/machine learning algorithms
Analysis of large datasets from Plugged-in Midlands Project (PiM) and eBridge project related to Electric Vehicles charging events and EV trips (R studio, Matlab, SPSS, WEKA tool and RapidMiner software packages used)
Cluster Analysis using k-means algorithm to extract typical profiles (Matlab, R)
Statistical Analysis using Regression models to investigate the long-term trend of a time series (Matlab, SPSS)
Development of a quantitative risk analysis (decision making) model (based on Fuzzy-Logic) to identify the potential risk of EV charging demand on a distribution network (Matlab)
Spatial Data Analysis (using Google Earth/Google Maps, Open Street Maps)
Data Visualization experience (UML diagrams, Matlab, Microsoft Office)
Professional experience using tools and techniques to utilize Business Intelligence in order to drive competitive advantages and create new strategic business opportunities
Organizational and Analytical skills, Strong commitment to learn and a strong drive to achieve results, Intellectual skills and creative thinking, Ability to work independently and within a team environment and deal in a challenging environment under pressure, Strong independent decision-making, organizational, planning and problem-solving skills
more
Skills
machine-learning
machine-learning-engineer
technical-architect
bigdata
[+] 1 more...

Big Data Analyst

I have overall 17 years’ experience out of which 8 years of data architecture, analysis and design in Telco and card payment domains. In my last role at Visa, I was working as a big data analyst. My key skills include Big data analysis, data modelling, data profiling and solution design for data warehouse and Big data systems. As part of my job, I work closely with enterprise architecture team to make sure logical models are aligned to enterprise models. I am currently looking for a new exciting contracting role in Big Data technologies more
Skills
bigdata
business-intelligence
sql
business-objects
cvs
electronic-/-electrical-engineering
etl---extract/transform/load
git
java
linux
middleware/transactions
ms-sql-server
nosql
python
rational-clearcase
sun-os-/-solaris
windows-nt
xml
[+] 15 more...
FAQ
What is a big data developer?
A developer who codes for an application that uses massive quantities of data that are too big for a normal system to support. Go Big or Go Home!
What does a big data developer do?
They support the migration of data from a normal-sized system to a Big Data system. Think of them as taking smaller blocks of data from a messy cupboard, to a huge storage unit to make everything more organised and faster.
What should a big data developer know?
The most important skills for a Big Data Developer to have are; Apache Hadoop, NoSQL, Data Mining, NoSQL, Machine Learning, Programming Languages like Scala, Python and Data Visualisation. Always read the full Job Specification to ensure you have the skills and knowledge required.
Big data developer vs data scientist
Big Data Developers work with masses of varied data to enable businesses to have more scope and reach across all areas, whereas Data Scientists extract and use specifics from within Big Data to fine-tune certain areas of information to reach and interest an audience.