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

Responsibilities

  • Define client needs, oversee project milestones to ensure expectations, budgets are met
  • Define data platform architecture & design; Review code & make changes
  • Leverage knowledge of distributed systems, process flows & procedures to aid analyses & recommendations for solution offerings
  • Responsible for the overall quality of project deliverables & successful implementation of defined solution
  • Build superior client relationships & proactively manage client expectations, ensure that change control is used when scope boundaries are exceeded
  • Communicate a compelling & inspired vision to all customer levels, from CTOs/CIOs, to engineering managers and programmers
  • Maintain strong network & promote us at various meetings, forums, panels, publications, conferences to establish thought leadership in industry
  • Responsible for POCs on any tech stacks introduced, or possible version upgrades

Requirements

  • 8+ years experience in design & development using various database technologies with recent 4+ years associated with Hadoop technology stack & programming languages
  • Hands­-on/Technical lead experience in 2 or more areas:  
  • Hadoop, HDFS, MR 
  • High Availability architecture and DR setup
  • Spark Streaming, Spark SQL, Spark ML 
  • Kafka/Flume 
  • Apache NiFi
  • Worked with Hortonworks Data Platform as Architect CDH (Cloudera Distribution for Hadoop) as developer/administrator
  • Hive/Pig/Sqoop
  • NoSQL Databases HBase/Cassandra/Neo4j/MongoDB
  • Visualisation & Reporting frameworks like D3.js, Zeppelin, Grafana, Kibana Tableau, Pentaho  
  • Scrapy for crawling websites  
  • Good to have knowledge of Elastic Search  
  • Good to have understanding on Google Analytics data streaming  
  • Data security (Kerberos/OpenLDAP/Knox/Ranger)                 
    • Knowledge of Big Data Integration with Third party/in house built Metadata Management, Data Quality, Master Data Management Solutions, Structured/Unstructured data
    • Been active in terms of speaking engagements at conferences
    Technical Lead - Data Engineering
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