Data Engineer
2 days ago
Responsibilities
- Possesses 2-4 years of experience in data engineering, particularly using AWS services like S3, Glue, Lambda, SNS, EC2, IAM and KMS, and Snowflake features like snowpipe, streams, tasks stored procedures.
- Capable of handling well defined task and completing these tasks by writing readable, maintainable code. Adhered to coding practices and data protection standards.
- Should have a solid understanding of BI/DW, ETL, big data, cloud, data security & protection, SQL, and data visualization concepts.
- Develop code considering established controls, policies, recommended strategies for development work.
- Understand basic data management process designs, models, and architectures by engaging in requirement analysis, testing, debugging, documentation, quality review.
Qualifications
Must have Skills:
Extensive experience with AWS services: S3, Glue, Lambda, SNS, EC2, IAM and KMS
Proficency in CI/CD Pipelines in GitHub, and Snowflake features like streams, tasks, stored procedures, snowpipe and data sharing.
Good To Have Skills
Hands on experience/Familiarity with one/more of the following technologies: Database, Data Visualization (Power BI), Scripting, ETL (Informatica PowerCenter). Nice to have AWS Cloud certification.
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