AWS Data Engineer

Must Have Skills

• Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and batch services.

• Experience in Snowflake and Data Build Tool.

• Expertise in DBT, NodeJS and Python.

• Expertise in Informatica, Power BI, DataStage, Database, Cognos.

• Knowledge on AI

• AWS services AI skills – Build AI agents, Gen AI

• Gitlab CI/CD pipeline

Detailed Job Description:

• Strong experience in AWS services AWS services ( hands-on experience) - Data engineering skills (Glue, ECS, Data pipeline etc.,) primarily serverless, databases, storage services, container services, schedulers, and batch services.
• Experience in Snowflake and Data Build Tool.
• Expertise in DBT, NodeJS and Python.
• Expertise in Informatica, Power BI , DataStage, Database, Cognos.
• Knowledge on AI
• AI skills – Build AI agents, Gen AI
• Gitlab CI/CD pipeline
• Should have good mix of Data engineering and AI work.
• Proven experience in leading teams across locations.
• Knowledge of DevOps processes, Infrastructure as Code and their purpose.
• Good understanding of data warehouses, their purpose, and implementation.

Top 3 responsibilities you would expect the Subcon to shoulder and execute

• Should have good expertise in delivery coordination Should be able to manage complex software application development and support projects
• Should be able to manage offshore resources also.
• Should be able to work with other onsite team members and client Good communication skills.