Job summary:

Job description:

*** Interview: Skype  - Note interview will be in depth technical - so please make sure you are comfortable before you apply ***

Required Skills:

• Total of 10+ years of experience in BI & DW with at least 4 - 6 years of experience in Big Data implementations
• Understand business requirements and convert them into solution designs
• Architecture, Design and Development of Big Data / data Lake Platform.
• Understand the functional and non-functional requirements in the solution and mentor the team with technological expertise and decisions.
• Hands-on experience in working with Hadoop Distribution platforms like HortonWorks, Cloudera, MapR and others.
• Strong hands-on experience in working with Hive, Spark (Java / Scala / Python)
• Experience in designing and building Hadoop data lake
• Produce a detailed functional design document to match customer requirements.
• Responsible for Preparation, reviewing and owning Technical design documentation.
• reviews, and preparing documents for Big Data applications according to system standards.
• Conducts peer reviews to ensure consistency, completeness and accuracy of the delivery.
• Detect, analyse, and remediate performance problems.
• Evaluates and recommends software and hardware solutions to meet user needs.
• Responsible for project support, support mentoring, and training for transition to the support team.
• Share best practices and be consultative to clients throughout duration of the project.
• Take end-to-end responsibility of the Hadoop Life Cycle in the organization
• Be the bridge between data scientists, engineers and the organizational needs.
• Do in-depth requirement analysis and exclusively choose the work platform.
• Full knowledge of Hadoop Architecture and HDFS is a must
• Working knowledge of MapReduce, HBase, Pig, MongoDb, Cassandra, Impala, Oozie , Mahout, Flume, Zookeeper/Sqoop and Hive
• In addition to above technologies , understanding of major programming/scripting
• languages like Java, Linux, PHP, Ruby, Phyton and/or R
• He or she should have experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms
• Must have minimum 3+ years hands-on experience in one of the Big Data Technologies (I.e. Apache Hadoop, HDP, Cloudera, MapR)
• MapReduce, HDFS, Hive, Hbase, Impala, Pig, Tez, Oozie, Scoop
• Hands on experience in designing and developing BI applications
• Excellent knowledge in Relational, NoSQL, Document Databases, Data Lakes and cloud storage
• Expertise in various connectors and pipelines for batch and real-time data collection/delivery
• Experience in integrating with on-premises, public/private Cloud platform
• Good knowledge in handling and implementing secure data collection/processing/delivery
• Desirable knowledge with the Hadoop components like Kafka, Spark, Solr, Atlas
• Desirable knowledge with one of the Open Source data ingestion tool like Talend, Pentaho, Apache NiFi, Spark, Kafka
• Desirable knowledge with one of the Open Source reporting tool Brit, Pentaho, JasperReport, KNIME, Google Chart API, D3

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Contact the recruiter working on this position:

The recruiter working on this position is Mohini Kushwaha
His/her contact number is
His/her contact email is mohini.kushwaha@msysinc.com

Our recruiters will be more than happy to help you to get this contract.