Practice Director - Big Data

MindGen Solutions is a recruitment firm and specializes in hiring managerial and leadership talents across technologies and domains.

Job Description:

- Senior industry expert with BigData background.

- Will use his/her diverse experience across BigData technologies to come up with solutions and use cases that appeal to customers.

- Work closely with verticals to drive such solutions.

- Constantly stay in touch with field - sales and account teams and evangelize BigData offerings and updates.

- Build a world class set of collateral across all our offerings.

- Own and drive all response - proposals, RFI, customer presentations, demonstrations, PoCs etc for the sole purpose of growing the business.

- Should be well versed with overall IT landscape, technologies, machine learning techniques and should be able to analyze how different technologies integrates with each other

- Should be able to provided scalable and robust solution architecture depending on the needs

- Should be able to compare tools and technologies and recommend a tool or technology

- Must have good understanding of Data Structures, Distributed processing framework, machine learning techniques etc.

- Must have experience of executing at least two-three big data projects (end to end) and one big data analytics project (end-to-end

- Candidate must have strong background & hands on experience of a. JAVA or b. Data warehouse / ETL/BI or DWH appliances

- Must have strong client handling skills and excellent verbal and written communication skills.

- Excellent problem solving and analytical skills.

- Ability and desire to work in a fast-paced environment stay motivated and flexible.

- Ability to work cross functionally to deliver appropriate resolution of technical, procedural, and operational issues.

- Deep Knowledge of either Cloudera/HortonWorks/MapR/Pivotal

- Hands-on experience with either Mahout/Spark-MLlib/any other platform support distributed machine learning platforms

- Familiar with analytic techniques for classification, clustering, recommendation engine, time series modeling etc.

- Good knowledge of NoSQL Databases/HBase/ MongoDB

- Very good understanding of in-memory databases and distributed databases

- Thoroughly understanding of how to handle real time data integration

- Good understanding of security aspects including Kerberos, Sentry etc

- Good experience with databases and SQL

- Good experience with one programming language like Scala, Java, Python etc

- Proven expertise of delivering end to end projects working with virtual and global teams