Cloud Native Data Architect

6 days ago

thane, India beBeeData Full time

We are seeking skilled Data Architects to join our global data engineering teams. This is an excellent opportunity for professionals who can design and implement scalable data systems, work with modern cloud-native data stacks, and support large-scale enterprise data initiatives.Key Responsibilities:Design and develop efficient data pipelines using leading-edge tools and frameworks.Develop ETL/ELT workflows for structured, semi-structured, and unstructured data sources.Implement data ingestion, transformation, storage, and processing solutions.Collaborate with analytics, BI, ML, and backend teams to deliver end-to-end data solutions.Requirements:Minimum 2 years of experience as a Data Engineer.Strong expertise in Python or SQL (or both).Practical knowledge of data pipeline development using Spark, PySpark, or similar technologies.Familiarity with one major cloud platform (AWS, Azure, or GCP).Understanding of data modeling, warehousing concepts, and distributed systems.Preferred Skills:Experience with Databricks or large-scale Spark clusters.Knowledge of streaming technologies (Kafka / Kinesis / Pub/Sub / Flink).Exposure to orchestration tools such as Airflow, Dagster, Prefect, or AWS Step Functions.Why Join Us:Engage in large-scale, cloud-native data engineering projects.Enjoy flexible working hours and remote work options.Work with modern data stacks, lakehouse architectures, and global teams.

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