Senior Data Architect

Senior Data Architect

BASIC QUALIFICATIONS

• Candidate will lead architecture, design, troubleshooting and tuning on Microservices and Bigdata framework to current industry standards. (AWS Experience preferred).
• Strong decision-making skills in terms of data analysis and must have the ability to architect large data.
• Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.
• Strong experience in programming languages and latest technologies such as: C#.NET, Elastic, all types of Javascript frameworks, HTML5, CSS, RESTful Services, Spark, Python, Linux, Hive, Kafka, Redis Cloudera etc.
• Knowledge and experience with the latest data technologies and frameworks such as Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Flume, ZooKeeper, MongoDB, NoSQL and Cassandra.
• Many companies look out for people with knowledge of cloud computing and who has got the experience working with various cloud environments.
• Execute with Strong analytical and problem-solving skills in a self-driven motivated manner while working in a team and/or independently as required.
• Experience working with Git, Jira, Agile methodologies, modeling tools, profiling tools and JMeter.
• Experience Implementation and tuning experience in the Big Data Ecosystem, (EMR, Hadoop, Spark, R, Presto, Hive), Database (Oracle, mysql, postgres, MS SQL Server), NoSQL (DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data Warehousing (Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
• Agile and scrum methodologies is a must to know for this job.

Job Category: C#.NET Cassandra CSS3 Elastic Flume Git Hadoop HBase Hive HTML5 JavaScript Jira JMeter Kafka Linux MapReduce MongoDB Multi-cloud (AWS) NOSQL Oozie Pig Python Redis RESTful Services Scrum Spark ZooKeeper
Job Type: Full Time
Job Location: Remote

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