Senior Data Engineer

Responsibilities:
1) Possesses 4-6 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.
2) Capable of handling well defined task and completing these tasks by writing readable, maintainable code. Adhered to coding practices and data protection standards.
3) Should have a solid understanding of BI/DW, ETL, big data, cloud, data security & protection, SQL, and data visualization concepts.
4) Develop code considering established controls, policies, recommended strategies for development work.
5) Helping out team members in their day to day technical issues .
6) Understand basic data management process designs, models, and architectures by engaging in requirement analysis, testing, debugging, documentation, quality review.
7) Communicate assumptions, seek clarification on tasks to minimize the need for rework, and actively participate in team meetings and discussions.

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.