Virtusa
Senior Data Engineer
Job Description
Senior Data Engineer with special emphasis and experience of 6 to 8 years on AWS and ETL tools.
Bachelor's degree in computer science engineering, or related field.
Hands on experience on AWS service like S3, Redshift, Glue, Lambda etc., and also good experience on Spark, Informatica, Talend etc.,
Strong Hands-on experience on SQL with database management, data modelling and schema designing.
Should have knowledge on CICD and Job scheduling tools.
Strong experience on large scale date lake to cloud environment.
Good experience on data lake integration with BI tools (Tableau, Alteryx etc.)
Experience with AWS Services (S3, Redshift, Glue, Lambda etc.)
Proficiency in ETL tools and processes (Spark, AWS Glue, Informatica, Talend etc.)
Strong SQL Skills and experience with database management. Knowledge of data modelling and schema design.
Knowledge of Continuous Integration and Continuous Deployment best practices and technologies such as Jules, Spinnaker, Jenkins etc
Experience in job scheduling technologies like Control-m, file watchers, alerts and monitoring.
Experience in migrating large scale on prem data lake to cloud environment.
Proficiency in programming and scripting languages such as UNIX, Python, Java or Scala.
Awareness around Salesforce data extraction would be a super plus.
Understanding of data security best practices while coding.
Experience integrating data lakes with BI Tools (Tableau, Alteryx etc.)
Snowflake certification or relevant experience
AWS Certified Developer or Architect
Previous experience in similar data migration project
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