Engineer

Skill: Data Engineer

Must have:

• Spark, Python, Scala, Hadoop, Java, AWS ETL Glue, Lambda, DynamoDB.
• CI/CD, AWS S3, AWS EC2, AWS IAM, AWS Data Lake, SQL.

Experience Required:

• Min 8 yrs hands on experience in Spark, Python, Scala, Hadoop, Java.

• Hands on experience on EC2, S3, cloud watch, secrets manager.

• Experience on Attunity enterprise manager and replicate, Cross Region replication.

• Must know monitoring solutions like Splunk, App Dynamics, Attunity schedules.

• Experience with Bamboo and Bitbucket.

• Must have experience on IAM and Password management.

• Participating in requirement analysis and planning the development.

• Support production environment.

• Designing automation processes as per the operational needs of an organization.

Responsibilities:

• Work with the business team to understand the requirements.

• Work in the Agile methodology (SCRUM).

• Collaborate with the team to work on developing new features.

• Participating in High level design session and collaborating with Business on the best practices and solutions that maximize the client needs.

• Migrate, deploy and compile code objects to environments.

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