Data Engineer

Responsibilities: ● Review and understand business requirements ensuring that development tasks are completed within the timeline provided and that issues are fully tested with minimal defects ● Partner with software development team to implement best practices and optimize performance of Data applications. ● Collaborate across the company and interact with our customers to define, design and showcase new concepts and solutions ● Research on new Big Data technologies, assessing maturity and alignment of technology to business and technology strategy. ● Collaborate with other developers to ensure that client needs are met at all times ● Work in a rapid and agile development process to enable increased speed to market against a backdrop of appropriate controls. ● Implement good development and testing standards to ensure quality of deliverables ● Rapidly understand and translate clients’ business challenges and concerns into a solution oriented discussion. Must Have: ● At least 6+ years of total IT experience ● At least 4+ years of experience in design and development using Hadoop technology stack and programming languages ● Hands-on experience in 2 or more areas: o Hadoop, HDFS, MR o Spark Streaming, Spark SQL, Spark ML o Kafka/Flume. o Apache NiFi o Worked with Hortonworks Data Platform o Hive / Pig / Sqoop o NoSQL Databases HBase/Cassandra/Neo4j/MongoDB o Visualisation & Reporting frameworks like D3.js, Zeppellin, Grafana, Kibana Tableau, Pentaho o Scrapy for crawling websites o Good to have knowledge of Elastic Search o Good to have understanding of Google Analytics data streaming. o Data security (Kerberos/Open LDAP/Knox/Ranger) ● Should have a very good overview of the current landscape and ability to visualise technology and industry trends ● Working knowledge of Big Data Integration with Third party / in house built Metadata Management, Data Quality, Master Data Management Solutions,Structured/Unstructured data ● Have been active in the community in terms of articles / blogs / speaking engagements at conferences