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AWS Data Engineer

2T Consulting

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.
Vacancy posted 2 days ago
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