Engineer

Skill: Data Engineer

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

• Must have hands on experience in AWS ETL Glue, Lambda, DynamoDB.

• Must have hands on experience in PySpark on Jupyter notebook.

• Must have experience in CI/CD, AWS S3, AWS EC2, AWS IAM, AWS Data Lake, SQL.

• Building and managing public and private cloud infrastructure with AWS, EC2 and S3 resources.

• Participating in requirement analysis and planning the development.

• Support production environment.

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

• Reviewing the code, design and providing expertise in the development and integration of systems.

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.

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