Cloud Data Specialist

2 weeks ago

Koṭa, India beBeeData Full time

Cloud Data Specialists are in high demand as organizations look to scale their data platforms and drive business growth. We are seeking skilled professionals with a proven track record of designing and implementing scalable, reliable data pipelines using modern data engineering tools and frameworks.About the RoleThis is a fantastic opportunity for experienced data engineers to join our team and work on large-scale, cloud-native data engineering projects. With multiple openings available, you will have the chance to grow your skills and advance your career in a fast-paced environment.Key Responsibilities:Design and build scalable, reliable data pipelines using modern data engineering tools and frameworks.Develop ETL/ELT workflows for structured, semi-structured, and unstructured data.Implement data ingestion, transformation, storage, and processing solutions.Work with cloud-native data services (AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery, Dataflow).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:Fully remote work with flexible hours.Long-term freelance roles with consistent project work.Opportunity to work with modern data stacks, lakehouse architectures, and global teams.Growth opportunities with multiple openings available.To be considered for this role, please send your CV to us.

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