High-Powered Cloud Data Specialist

1 day ago

mangalore, India beBeeData Full time

We are seeking a skilled professional to join our international data platform, analytics, and cloud engineering teams as a Data Engineer. This fully remote freelance opportunity is ideal for individuals who can build scalable data pipelines, work with modern cloud-native data stacks, and support large-scale enterprise data initiatives.This role offers the chance to work on high-profile projects and contribute to cutting-edge data solutions. We are looking for experts who can design and implement efficient data architectures, collaborate with cross-functional teams, and drive business growth through data-driven insights.Key Responsibilities:Data Pipeline Development: Design and build scalable, reliable data pipelines using modern data engineering tools and frameworks.ETL/ELT Workflows: Develop ETL/ELT workflows for structured, semi-structured, and unstructured data.Cloud-Native Services: Implement data ingestion, transformation, storage, and processing solutions using cloud-native services such as AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery, Dataflow.Batch and Streaming Data Pipelines: Build batch and streaming data pipelines using Spark, Databricks, Kafka, or similar technologies.Requirements:Minimum 2 Years of Experience: Minimum 2 years of hands-on experience as a Data Engineer.Strong Programming Skills: Strong experience with Python or SQL (or both).Data Modeling and Warehousing: Practical knowledge of data modeling, warehousing concepts, and distributed systems.Cloud Platform Expertise: Hands-on experience with one major cloud platform (AWS, Azure, or GCP).ETL/ELT Tools: Experience working with ETL/ELT tools or frameworks.Preferred Skills:Databricks and Spark: Experience with Databricks or large-scale Spark clusters.: Knowledge of streaming technologies (Kafka / Kinesis / Pub/Sub / Flink).Data Lakes and Lakehouse Architectures: Experience working with data lakes (S3, ADLS, GCS) and lakehouse architectures.Benefits:Fully Remote Opportunity: Fully remote freelance roles with flexible working hours.Long-Term Engagement: Long-term freelance roles with consistent project work.Modern Data Stacks: Work with modern data stacks, lakehouse architectures, and global teams.

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