| AWS Data Architect || Local Only at Malvern, Pennsylvania, USA |
| Email: [email protected] |
| From: KhushankChauhan, Source Infotech [email protected] Reply to: [email protected] AWS Data Architect Location: Malvern, PA (Hybrid - Local) Work Authorization: Candidates must be authorized to work in the U.S. LinkedIn Profile: Required Job Description: We are seeking an experienced AWS Data Architect to join our team in Malvern, PA. This role is critical for designing and implementing data solutions that leverage AWS's rich suite of services, focusing on optimizing data workflows, architecture, and real-time data processing capabilities. The ideal candidate will have strong expertise in Python programming, advanced SQL knowledge, and proficiency with AWS data-related services and frameworks. Responsibilities: Data Architecture Design: Lead the design and implementation of AWS-based data architectures, ensuring scalability, reliability, and efficiency. Data Pipeline Development: Develop and manage data pipelines, leveraging AWS services like EMR, Glue ETL, Lambda, Step Functions, and Kinesis for data ingestion, transformation, and processing. Data Integration & Transformation: Use SQL, Presto, HIVE, and Spark for efficient data querying and transformation. Enable seamless integration across different data sources. Database Management: Design and optimize data storage solutions using AWS components like RDS PostgreSQL, DynamoDB, Timeseries databases, and S3. Real-Time Processing: Implement solutions for real-time data streaming and processing using Kinesis, CloudWatch Events/EventBridge, SNS, and SQS. Security & Compliance: Configure IAM roles and policies, manage VPCs, and ensure data security best practices are followed. Performance Monitoring: Utilize CloudWatch for monitoring AWS resources, logging, and triggering automated responses as needed. Qualifications: Technical Skills: o Strong proficiency in Python programming and advanced SQL skills. o Extensive experience with AWS services: EMR, Glue ETL, Lambda, Step Functions, S3, ECS, Kinesis, IAM, RDS PostgreSQL, DynamoDB, Timeseries databases, CloudWatch Events/EventBridge, Athena, SNS, SQS, and VPC. o Expertise with data querying and transformation tools like Presto, HIVE, and Spark. Problem Solving: Ability to troubleshoot complex data architectures and optimize performance. Communication: Strong verbal and written communication skills for clear technical documentation and stakeholder engagement. Preferred Qualifications: Experience in hybrid cloud environments and familiarity with data migration and integration strategies. Knowledge of data governance best practices. Note: Candidates should provide their LinkedIn profile and work authorization status Keywords: sthree Pennsylvania AWS Data Architect || Local Only [email protected] |
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| Thu Nov 07 04:47:00 UTC 2024 |