Lead Data Engineer
eTeam
Job Title: Lead Data Engineer
Location: Charlotte, NC 28202 (Onsite)
Duration: 12 Months Interview Process (Is face to face required): Yes (2nd round) Job Details:
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. Minimum years of experience
8-10 years Top 3 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 Good communication skills.
Location: Charlotte, NC 28202 (Onsite)
Duration: 12 Months Interview Process (Is face to face required): Yes (2nd round) Job Details:
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. Minimum years of experience
8-10 years Top 3 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 Good communication skills.
Vacancy posted 4 days ago
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