Data Engineer - AWS - Hadoop Apache spark - 7 yrs -Gurgaon

Role & responsibilities Total Experience: 7 yrs Relevant experience: 6 yrs Mandatory skills: Hadoop Apache Spark, Hive AWS cloud services including S3, Redshift, EMR etc SQL Nice to have: Good experience in Linux and shell scripting. Experience in Data Pipeline using Apache Airflow / Control-M. Practical experience in Core Java /Python/Scala. Experience with SDLC tools (e.g. Bamboo, JIRA, GIT, Confluence, Bitbucket) Having experience in Data Modelling, Data Quality, Load Assurance. Ability to communicate problems and solutions effectively with both business and technical stakeholders (written and verbal) Added advantages : Scheduling tools - control-m, airflow Monitoring tools : Sumologic, SPLUNK Process familiarity of Incident Management Job Description: Experience in Big Data Technology like Hadoop, Apache Spark, Hive. Having experience in AWS cloud services including S3, Redshift, EMR etc. Strong expertise in RDBMS and SQL. Good experience in Linux and shell scripting. Experience in Data Pipeline using Apache Airflow / Control-M. Practical experience in Core Java /Python/Scala. Experience with SDLC tools (e.g. Bamboo, JIRA, GIT, Confluence, Bitbucket) Having experience in Data Modelling, Data Quality, Load Assurance. Ability to communicate problems and solutions effectively with both business and technical stakeholders (written and verbal) Added advantages : Scheduling tools - control-m, airflow Monitoring tools : Sumologic, SPLUNK Process familiarity of Incident Management