Building Scalable Cloud-Native Data Architectures

1 week ago

thiruvananthapuram, India beBeeData Full time

Cloud Data ArchitectWe are seeking a highly skilled Cloud Data Architect to join our international data platform, analytics, and cloud engineering teams. This role is ideal for experts who can design and build scalable, reliable cloud-native data architectures.Key Responsibilities:Design and develop cloud-based data pipelines using modern data engineering tools and frameworks.Develop ETL/ELT workflows for structured, semi-structured, and unstructured data in the cloud.Implement data ingestion, transformation, storage, and processing solutions using cloud-native services.Collaborate with analytics, BI, ML, and backend teams to deliver end-to-end data solutions.Ensure data quality, integrity, governance, and security across data workflows.Support CI/CD pipelines, version control, and automation related to cloud data environments.Requirements:Minimum 2 years of hands-on experience as a Cloud Data Engineer.Strong experience with Python or SQL (or both).Practical knowledge of data pipeline development using Spark, PySpark, or equivalent.Hands-on experience with one major cloud platform (AWS, Azure, or GCP).Understanding of data modeling, warehousing concepts, and distributed systems.Experience working with ETL/ELT tools or frameworks.Ability to work independently in a remote, distributed setup.Benefits:Large-scale, cloud-native data engineering projects.Multiple openings with fast-track onboarding.Fully remote with flexible working hours.Long-term freelance roles with consistent project work.Work with modern data stacks, lakehouse architectures, and global teams.

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