Job Description :•
The Data Engineer/Scientist has a real passion for finding opportunities in data. He uses already established tool and techniques or innovate new ones to get insights from large complex data sets. He will have contributed to large data centric projects, have participated in technical communities, interest groups or have written/spoken in public about their innovation and ideas. Despite having 5 to 10 years of experience, a Data Engineer/Scientist at Client will still be an active technician: tinkering with new Big data solutions, using unfamiliar technologies without any supervision and learning new tools and techniques in their spare time, etc.
We are looking for following core capabilities in our Data Engineer/Scientist
1. Proficient in statistical data analyses, machine learning, data mining & optimizations using multiple tools and technology on large complex data sets 2. Easily build the complex algorithm and logic to process data 3. Embrace the agile software development environment 4. Provide self-serve analytical solutions to users to analyze medium to large datasets and run mathematical models without need of IT resources 5. Practitioner of statistical data quality procedures or test driven approach for quality assurance; Develop software ensuring proper data quality controls at all levels 6. Work with large volume of data, well versed with performance tuning and able to optimize the application at all of its layers 7. Build BI and reporting solutions including Data warehousing, Data modeling, ETL etc. 8. Enjoy research and implementation of solution on mobile technology9. Have a public community presence through either publications, blogs,10. A good learner, but at the same time a good mentor who inspire peers and more junior team members to learn and expand their skill set, guiding them in the right direction 11. Possess excellent communication skills, able to visualize and report data findings creatively in a variety of formats to various stakeholders Requirement: Bachelor's degree in Computer Science with Mathematics and Statistics or equivalent subject, Masters preferred Minimum of 5-7 years of experience in software developmentStrong command of English language (both verbal and written) Can manage 80% travel
Technical skills and experience
Proficiency in statistical data analysis and data mining packages SAS, SPSS, MatLab, R, STATA, Excel etc. Knowledge or experience on Big Data platform like Hadoop, hbase, CouchDB, hive, Pig etc Worked with TeraData, Oracle, MySQL, Informatica, Tableu, QlikView or similar reporting and BI packages Used SQL, PL/SQL and similar languages, UNIX shell scripting Experienced with data modeling, design patterns, building highly scalable and secured solutions Knowledge of agile software development process Familiarity with performance metric tools Knowledge of web application development technologies such as Ruby on Rails, Java, UNIX, HTML, CSS, Perl, or PHP a plus
Non-technical competencies
Demonstrate enthusiasm, influence and innovation Strong analytical and problem solving skills paired with the ability to develop creative and efficient solutions Tolerance in dealing with bad quality data Distinct customer focus and quality mindset Ability to work at an abstract level and gain consensus Ability to see from and sell to multiple viewpoints Excellent interpersonal, leadership and communication skills Ability to work both independently and in various team settings Ability to work under pressure with a solid sense for setting priorities Ability to manage own learning and contribute to domain knowledge building
All your information will be kept confidential according to EEO guidelines.