AWS Data Sr Engineer
AWS Data Sr Engineer
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1 Vacancy
Job Description
- Develop AWS data pipelines in AWS cloud environment.
- Strong knowledge in writing understanding and debugging complex SQL and PG/ PLSQL scripts.
- Use transformation logics in AWS Glue/Pyspark with dataframes handling structured data/semi structured data.
- Good working knowledge in Snowflake data warehouse.
- Knowledge of DBT will be a plus.
- Experienced in debugging diagnosing and troubleshooting Medium/complex production code.
- Develop various AWS services such as Glue RDSRedshift Lambda etc. services.
- Strong handson experience in native AWS Glue ETL engineering S3 Redshift Database integration with other native AWS services and CICD using Python pyspark and AWS APIs.
- Handson experience in any User defined functions in Lambda EC2 Instances type & Details Secret Manager Ids Roles and policies (Inline policies) Lifecycle Policies at bucket level and S3 Glacier details Code commit repositories SNS system etc.
- Good to have knowledge in developing and maintaining data pipelines using AWS Cloud formation.
- Guide Team to ensure success in building and migrating applications software and services following the principles of the AWS WellArchitected Framework.
- Experience building and optimizing AWS data pipelines architectures and data sets.
- Experience in automation and provisioning services on AWS.
- Capture and share bestpractice knowledge among the AWS solutions architecture community
- AWS solutions architect and/or AWS developer certification is preferred.
- Strong communication skills
- Should have worked on at least 34 EndtoEnd Implementations/ Projects.
Employment Type
Full Time
