Cloud-Native Data Pipeline Specialist

7 days ago

nagpur, India beBeeDataEngineer Full time

We are seeking experienced Data Engineers to join our cloud-native data platform and analytics teams in fully remote freelance roles.Job OverviewWe are hiring multiple positions for Data Engineers who can design, build, and maintain scalable data pipelines using modern data engineering tools and frameworks. These long-term freelance roles are ideal for engineers who can work independently in a distributed setup and collaborate with cross-functional teams to deliver end-to-end data solutions.Key ResponsibilitiesDesign and implement scalable data pipelines using cloud-native services (AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery, Dataflow).Develop ETL/ELT workflows for structured, semi-structured, and unstructured data using Python or SQL.Implement data ingestion, transformation, storage, and processing solutions using Spark, Databricks, Kafka, or similar technologies.Work with big data engineering areas including core data engineering, ETL/ELT development, data pipeline engineering, and data platform engineering.Minimum 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.BenefitsLarge-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.How to ApplySend your CV to us for review.

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