Senior Cloud Data Architect

1 week ago

surat, India beBeeDataEngineer Full time

Data EngineerWe are seeking a highly skilled Data Engineer to join our international team of experts in data platform, analytics, and cloud engineering. This is a long-term freelance opportunity for engineers who can design and build scalable data pipelines using modern tools and frameworks.Open RolesCore Data EngineeringSpecialized Roles: ETL/ELT Developer, Big Data Engineer, Data Pipeline Engineer, Data Platform Engineer, Streaming Data EngineerKey Responsibilities:Design and implement 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 with flexible working hours.Long-term freelance roles with consistent project work.Large-scale, cloud-native data engineering projects.Multiple openings with fast-track onboarding.Why Work with Us?This opportunity offers the chance to work with modern data stacks, lakehouse architectures, and global teams. If you have strong experience building data systems or pipelines, we encourage you to apply.

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