Minimum 6 years of managing RDBMS database (MySQL, Oracle, SQL Server, etc).
Minimum 3 plus years hands-on experience working with:
Hadoop - MapReduce, HDFS, HBase, Pig, Hive, Sqoop, Flume, MongoDB and Cassandra.
Scala and Spark. Hortonworks / Cloudera / MapR and Clustering
ETL tools (talend/pentaho preferred)
Java, Python Development.
UNIX/Shell Scripting & SQL.
Network Monitoring Daemons like Ganglia and Service monitoring tools
Experienced with Data lakes and Data Warehouse environment. Good design and architectural skills and proficient in Hadoop Administration - including cluster planning, managing hadoop clusters and in data movement.
Experienced in designing big data solutions for traditional enterprise businesses, handling data engineering related analytics query, dash boarding / visualization techniques.
Knowledge of network monitoring daemons like Ganglia and service monitoring tools
Experience in design, configuring and managing backup and disaster recovery for hadoop data. Hands-on in analyzing Log files for Hadoop and eco system services to for root cause analysis.
Position Description: The ideal resources would be required to carry out the following:
Extensive data processing
Writing Hive SQL, Pig Scripts, Python Scripts, SQL queries, HBASE Queries , Scala scripts
Propose Big-Data solutions.
KARVY, is a premier integrated financial services provider, and ranked among the top five in... the country in all its business segments, services over 16 million individual investors in various capacities, and provides investor services to over 300 corporates, comprising the who is who of Corporate India. KARVY covers the entire spectrum of financial services such as Stock broking, Depository Participants, Distribution of financial products - mutual funds, bonds, fixed deposit, equities, Insurance Broking, Commodities Broking, Personal Finance Advisory Services, Merchant Banking & Corporate Finance, placement of equity, IPOs, among others. Karvy has a professional management team and ranks among the best in technology, operations and research of various industrial segments.| Read full description