Data Engineering

job code: VOCDAT6FH

Data Engineering

Experience – 7-10 years

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