Senior Cloud Data Engineering Specialist

2 days ago

salem, India beBeeDataEngineer Full time

Data Engineer Position OverviewWe are seeking a highly skilled Data Engineer to join our team in developing scalable, reliable data pipelines using modern data engineering tools and frameworks.Key Responsibilities include designing and building scalable, reliable data pipelines, developing ETL/ELT workflows for structured, semi-structured, and unstructured data, implementing data ingestion, transformation, storage, and processing solutions, working with cloud-native data services, building batch and streaming data pipelines, optimizing performance, cost, and reliability of data systems for large-scale deployments, collaborating with analytics, BI, ML, and backend teams to deliver end-to-end data solutions, ensuring data quality, integrity, governance, and security across data workflows, and supporting CI/CD pipelines, version control, and automation related to data environments.Required Skills and QualificationsMinimum 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, and ability to work independently in a remote, distributed setup.BenefitsThis opportunity offers 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, and the chance to work with modern data stacks, lakehouse architectures, and global teams.How to ApplySend your CV to us.

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