Responsibilities Must have 1. Strong expertise in SQL Python PySpark. 2. Good knowledge on Data warehousing techniques. 3. Good knowledge on AWS Big Data services and snowflake. Design develop and maintain scalable data pipelines and architectures for data processing and integration. Implement data streaming solutions to handle real-time data ingestion and processing. Utilize Python and PySpark to develop and optimize data workflows. Leverage AWS services such as S3 Redshift Glue Kinesis and Lambda for data storage processing and analytics. Collaborate with data scientists analysts and other stakeholders to understand data requirements and deliver solutions. Ensure data quality integrity and security across all data pipelines. Monitor and troubleshoot data pipeline performance and reliability. Mentor junior data engineers and provide technical guidance. Stay updated with the latest trends and technologies in data engineering and streaming. Explore and implement Generative AI (GenAI) solutions where applicable Qualifications Bachelors degree in computer science engineering. 8+ years experience in ETL development role. Experience working in AWS PySpark and real time streaming pipeline. Ability to communicate effectively. Strong process documentation skills. 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 60327 Data Engineer

Local Skills 62276 AWS Batch

Languages RequiredEnglish

Role Rarity To Be Defined

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