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Global Data Engineering Specialist

2 weeks ago

moradabad, India beBeeData Full time

Job Description:We are seeking an experienced Data Architect to join our global data engineering teams. This freelance role is ideal for individuals who can design and build scalable data pipelines, work with modern cloud-native data stacks, and support large-scale enterprise data initiatives. Key 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: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.