Job Description :
Role: Data Engineer Duration: 6 months Location: Remote Contract Position Must Have:10+ years of Experience Qualifications: 10+ years of experience in Data Engineering with solid experience in AWS data platform, modern data architecture, design, and implementation of scalable data ingestion solutions. 4-5 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM. Experience in design and development data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms and other enterprise source systems. Expertise in analysing source data, designing a robust and scalable data ingestion framework and data pipelines using adhering to client Enterprise Data Architecture guidelines. Proficiency in working with functional teams and client stakeholders to accelerate the addition of data assets into the Enterprise Data Backbone and transforming them into valuable data products for consumption. Expertise in modern data architecture, design of Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, best practices and optimizing data pipelines. Experience in requirements finalization, epic/task estimation, tasks planning, design documents creation and knowledge transition to stakeholders. Experience in CI/CD automation process and manage data pipeline services in and between production and nonproduction environments. Experience in working in Agile/Scrum methodologies, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence. Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.