Building Scalable Data Pipelines

2 weeks ago


palakkad, India beBeeDataEngineer Full time

**Data Architect Role**Job Overview:We are seeking a skilled Data Engineer to design and build scalable data pipelines, ensure efficient data integration, and enable advanced analytics and reporting across the organization.Key Responsibilities:Design, develop, and optimize ETL/ELT pipelines using Python, PySpark, and AWS Glue.Implement data ingestion, transformation, and integration from diverse structured and unstructured sources.Work extensively with Snowflake for data modeling, performance tuning, and query optimization.Automate workflows and data processing using AWS Lambda and other AWS-native services.Maintain proper documentation of data flows, processes, and best practices.**Benefits of this Role:**Be part of a dynamic team that drives innovation and growth in the field of data engineering.Collaborate with experienced professionals who share your passion for technology and problem-solving.Enjoy a flexible work environment that encourages creativity and productivity.**What We're Looking For:Strong understanding of data architecture, storage, and processing.Excellent communication and collaboration skills.Ability to adapt quickly to new technologies and tools.**How to Succeed:**Stay up-to-date with industry trends and emerging technologies.Participate in knowledge-sharing sessions and workshops.Set achievable goals and prioritize tasks effectively.



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