Lead Data Engineer
About The Position
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 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.
Requirements
- 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 AI skills – Build AI agents, Gen AI Gitlab CI/CD pipeline
- Good communication skills
Nice To Haves
- 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
Responsibilities
- 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
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
