Data Engineering Lead
8-10 yearsNoidaGraduation/Post Graduation


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


Requirements



  • At least 6+ years of total IT experience
  • At least 4+ years of experience in design and development using Hadoop technology stack and programming language
  • Hands­-on experience in 2 or more areas:

  1. Hadoop, HDFS, MR

  2. Spark Streaming, Spark SQL, Spark ML

  3. Kafka/Flume.

  4. Apache NiFi

  5. Worked with Hortonworks Data Platform 

  6. Hive / Pig / Sqoop

  7. NoSQL Databases ­ HBase/Cassandra/Neo4j/MongoDB

  8. Visualisation & Reporting frameworks like D3.js, Zeppellin, Grafana, Kibana Tableau, Pentaho

  9. Scrapy for crawling websites

  10. Good to have knowledge of Elastic Search

  11. Good to have understanding of Google Analytics data streaming.

  12. 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



Data Engineering Lead
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