Responsibilities : Design and implement scalable data pipelines using AWS Glue for ETL processes. Develop data processing applications with Python ensuring data integrity and efficiency. Utilize AWS Lambda to create serverless solutions that automate data workflows. Monitor data pipelines and implement best practices for data governance and security. Document architecture processes and workflows for future reference and compliance. Must-Have Qualifications: Strong experience as a Data Engineer with a focus on AWS services. Proficiency in AWS Glue for building ETL workflows. Advanced programming skills in Python with experience in data manipulation libraries (e.g. Pandas NumPy). Hands-on experience with AWS Lambda and serverless architecture. Excellent problem-solving skills and a detail-oriented mindset. Optional Qualifications: Experience with AWS EMR for big data processing. Knowledge of Apache Iceberg for managing large datasets. Familiarity with snowflake Understanding of version control systems (e.g. Git). Named Job Posting? (if Yes - needs to be approved by SCSC)Additional Details

Global Grade :C

Level :To Be Defined

Named Job Posting? (if Yes - needs to be approved by SCSC) :No

Remote work possibility :Yes

Global Role Family :60242 (P) Data Management

Local Role Name :6363 Data Analyst

Local Skills :45331 AWS Cloud Formation

Languages Required::English

Role Rarity :To Be Defined

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AWS Data LEad Offshore Data Lead