Contributes to community building initiatives like CoE, CoP

Responsibilities:
Design and Develop Data Solutions: Architect, build, and optimize data pipelines and ETL processes on AWS using services like Amazon Redshift, Amazon RDS, AWS Glue, and AWS Lambda. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
Data Modeling and Warehousing: Design and implement data models, schemas, and data warehouses to support analytics and reporting needs. Ensure data integrity, reliability, and performance across all data-related processes.
Data Integration and Transformation: Implement data integration solutions to consolidate data from various sources, ensuring consistency and accuracy. Transform and cleanse data as needed to meet business requirements.
Performance Optimization: Identify prospects for performance optimization and scalability improvements in data processing and storage. Implement best practices for data partitioning, indexing, and caching to enhance system performance.
Monitoring and Maintenance:



Monitor data pipelines and infrastructure components for performance, availability, and reliability. Implement proactive measures to address issues and ensure continuous operation.
Documentation and Knowledge Sharing: Document data architecture, processes, and best practices. Contribute to knowledge sharing initiatives like CoE and CoP by sharing insights, presenting findings, and participating in discussions related to data engineering and AWS.
Collaboration and Teamwork: Collaborate effectively with cross-functional teams including data scientists, analysts, and business stakeholders. Participate in Agile ceremonies and contribute to a culture of collaboration, innovation, and continuous improvement.

Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field.
years of experience as a Data Engineer, with a solid focus on AWS technologies.
Proficiency

📌 Data Engineer Bengaluru (India)
🏢 TCP Corps
📍 India