AWS Data Engineer
2T Consulting
Must Have Skills
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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.
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Experience in Snowflake and Data Build Tool.
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Expertise in DBT, NodeJS and Python.
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Expertise in Informatica, Power BI, DataStage, Database, Cognos.
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Knowledge on AI
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AWS services AI skills – Build AI agents, Gen AI
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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 4 days ago
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