Join to apply for the AWS Data Engineer role at Tata Consultancy Services . Responsibilities: Design and Development: Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Redshift to process large-scale data. ETL Processes: Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems. Data Warehousing: Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data. Data Lake Management: Implement and manage scalable data lake solutions using AWS S3, Glue, and related services to support structured, unstructured, and streaming data. Data Security: Implement data security best practices on AWS, including access control, encryption, and compliance with data privacy regulations. Optimization and Monitoring: Optimize data workflows and storage solutions for cost and performance. Set up monitoring, logging, and alerting for data pipelines and infrastructure health. Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver data solutions aligned with business goals. Documentation: Create and maintain documentation for data infrastructure, data pipelines, and ETL processes to support internal knowledge sharing and compliance. Additional Information: Base Salary Range: $100,000 - $130,000 per annum Seniority level: Entry level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting #J-18808-Ljbffr Tata Consultancy Services
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