Job Description
Strong development experience in Spark, Scala, Python, Shell scripting, PostgresSQL, and Hadoop
In-depth knowledge on Hadoop architecture and its components
Troubleshooting the Hadoop Yarn jobs
Strong experience in writing complex and effective SQLs, and Stored Procedures
Implement Hadoop job orchestration using Shell scripting, and Airflow
Experience in Agile and working knowledge on DevOps tools (Git, Maven, Jankins, Sonar Cube, and Checkmarks)
Unix Shell scripting and basic administration of Unix servers
AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch)
Experience in Jira and Confluence
Must participate in production support model
In-depth knowledge on Hadoop architecture and its components
Troubleshooting the Hadoop Yarn jobs
Strong experience in writing complex and effective SQLs, and Stored Procedures
Implement Hadoop job orchestration using Shell scripting, and Airflow
Experience in Agile and working knowledge on DevOps tools (Git, Maven, Jankins, Sonar Cube, and Checkmarks)
Unix Shell scripting and basic administration of Unix servers
AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch)
Experience in Jira and Confluence
Must participate in production support model
💡 Quick Summary
Seeking a career-building opportunity? The Big Data Developer position is now open for candidates interested in the Database Administrator sector. This role in Anywhere offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Database Administrator is a plus.
