Mastering Scalable Cloud-Based Data Solutions

7 days ago

kochi, India beBeeData Full time

Cloud Data Specialist Job DescriptionWe are seeking a skilled Cloud Data Specialist to join our data engineering teams. This is an opportunity for experienced engineers who can design and implement scalable cloud-based data solutions.The ideal candidate will have hands-on experience with modern cloud-native data stacks, including AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery, and Dataflow.Key Responsibilities:Design, build, and maintain efficient, reliable data pipelines using cloud-based tools and frameworks.Develop ETL/ELT workflows for structured, semi-structured, and unstructured data in various formats.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.RequirementsMinimum 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.BenefitsLong-term freelance roles with consistent project work.Fully remote with flexible working hours.Opportunity to work on large-scale, cloud-native data engineering projects.Multiple openings with fast-track onboarding.Why Join Us?This role offers the chance to work with modern data stacks, lakehouse architectures, and global teams. If you are passionate about building scalable, reliable data solutions and have a strong background in cloud data engineering, we encourage you to apply.

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