BIDW  - Hands-on experience including solution architecture, design of enterprise applications on the Java, J2EE platform  - Certification from one of the Big Data vendors Cloudera, Hortonworks, IBM, Databricks  - Educational background in Data science is preferred.   - Sound knowledge on BigData ecosystem, Spark/Storm, NOSQL etc  - Hands on experience in working with Hadoop ecosystems, HDFS, Map Reduce, HBase, Hive, Flume, Oozie, Pig and Sqoop, Spark  - Hadoop development and implementation, Pre-processing using Hive and Pig.  Big Data:  - 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 c. 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  Analytics:  - We are looking for Business Analytics Leader with 17+ years of experience who will Lead the tower for BNFS.  - He/she should have experience as a Practice Leader in BI, Analytics & Data Warehousing across multiple domains.  - He/she should have good track record in terms of education credentials  - Should be able to leverage experience in terms of BI/DW technologies to come up with innovative solutions that appeal to customers  - 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

Pune

Practice Head - Big Data/BI/Analytics Technologies 

Practice Head - Big Data/BI/Analytics Technologies  ,Job Description for Practice Head - Big Data/BI/Analytics Technologies  in Hire and Staffing Solutions in  Pune for (13-25) years of experience. Apply Now!

Job Description for Practice Head - Big Data/BI/Analytics Technologies  in Hire and Staffing Solutions in  Pune for (13-25) years of experience. Apply Now!