Senior Cloud Data Architect

2 days ago

hubballi, India beBeeData Full time

Cloud Data Engineer OpportunityWe are seeking a highly skilled Cloud Data Engineer to join our team and contribute to the design, development, and implementation of large-scale cloud-native data engineering projects. The ideal candidate will have hands-on experience with modern data engineering tools and frameworks, including AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery, Dataflow, Spark, Databricks, Kafka, or similar technologies. They will be responsible for building scalable, reliable data pipelines, developing ETL/ELT workflows, implementing data ingestion, transformation, storage, and processing solutions, and collaborating with analytics, BI, ML, and backend teams to deliver end-to-end data solutions.Key Responsibilities:Design and develop 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.Required Skills and Qualifications:A minimum of 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.Benefits:Fully remote work environment with flexible working hours.Long-term freelance roles with consistent project work.Multiple openings with fast-track onboarding.Opportunities to work with modern data stacks, lakehouse architectures, and global teams.How to Apply:Please submit your CV to the relevant department.

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