Senior AWS Data Engineer
Senior AWS Data Engineer
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Job Description
We are seeking a skilled and motivated Senior Data Engineer to join our growing data team. In this role you will be responsible for designing building and optimizing scalable data pipelines and cloudbased data infrastructure. You will work extensively with AWS services and Snowflake to power analytics reporting and AI/ML use cases across the organization.
This is a handson role requiring strong data engineering fundamentals cloudnative experience and a drive to build highperformance data systems.
Responsibilities
Design and develop scalable ETL/ELT data pipelines using AWS Glue Lambda Step Functions and Python.
Build and maintain data lakes and data warehouses using AWS S3 Redshift and Snowflake.
Model and transform data for analytics and reporting using SQL and Snowflake best practices.
Implement monitoring logging and alerting for data pipelines to ensure reliability and performance.
Collaborate with Data Analysts Data Scientists and Product teams to understand data needs and deliver highquality datasets.
Ensure data governance quality and security across data pipelines and storage layers.
Participate in code reviews performance tuning and cloud cost optimization efforts.
Qualifications :
5 years of handson experience in Data Engineering.
Strong expertise in AWS services for data processing including Glue S3 Redshift Athena and Lambda.
Indepth experience with Snowflake including data modeling query optimization and access control.
Proficiency in SQL Python and Spark for data processing and transformation.
Solid understanding of data architecture data governance and security best practices.
Familiarity with CI/CD processes version control (Git) and InfrastructureasCode tools like Terraform or CloudFormation.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
