Cloud Data Architect

7 days ago


Tirupati, India beBeeData Full time

Job Title:Cloud Data Solutions EngineerWe are seeking a highly skilled Cloud Data Solutions Engineer to join our team. As a key member of our organization, you will be responsible for designing and implementing scalable data pipelines using modern cloud-native tools and frameworks.Key Responsibilities:Design and implement scalable data pipelines using AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery, Dataflow.Develop ETL/ELT workflows for structured, semi-structured, and unstructured data.Implement data ingestion, transformation, storage, and processing solutions.Work with cloud-native services to build batch and streaming data pipelines using Spark, Databricks, Kafka, or similar technologies.Optimize performance, cost, and reliability of data systems for large-scale deployments.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 data environments.Requirements:Minimum 2 years of hands-on experience as a 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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