Senior Data Architecture Specialist

21 hours ago

guntur, India beBeeDataEngineer Full time

Cloud Data Engineer RoleJob Overview:We are seeking a skilled Cloud Data Engineer to join our global data engineering teams. This freelance role involves designing and building scalable, reliable data pipelines using modern cloud-native tools and frameworks.Key Responsibilities:Design and implement data ingestion, transformation, storage, and processing solutions using cloud-native services such as AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery, and Dataflow.Develop ETL/ELT workflows for structured, semi-structured, and unstructured data.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.Preferred Skills:Experience with Databricks or large-scale Spark clusters.Knowledge of streaming technologies (Kafka / Kinesis / Pub/Sub / Flink).Experience working with data lakes (S3, ADLS, GCS) and lakehouse architectures.Exposure to orchestration tools such as Airflow, Dagster, Prefect, or AWS Step Functions.Familiarity with containerization (Docker) and orchestration (Kubernetes).Experience integrating with BI, ML, or analytics platforms.Cloud certifications (AWS / Azure / GCP Data Engineer) are a plus.Benefits: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.

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