Technical Lead - Data Engineering
8-12 yearsNoidaGraduation/Post Graduation


  • 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.


  • 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:
    • Hadoop, HDFS, MR
    • Spark Streaming, Spark SQL, Spark ML
    • Kafka/Flume.
    • Apache NiFi
    • Worked with Hortonworks Data Platform 
    • Hive / Pig / Sqoop
    • NoSQL Databases ­ HBase/Cassandra/Neo4j/MongoDB
    • Visualization & Reporting frameworks like D3.js, Zeppellin, Grafana, Kibana Tableau, Pentaho
    • Scrapy for crawling websites
    • Good to have knowledge of Elastic Search
    • Good to have understanding of Google Analytics data streaming.
    • Data security (Kerberos/Open LDAP/Knox/Ranger)
  • Should have a very good overview of the current landscape and ability to visualize 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
Technical Lead - Data Engineering
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