We are looking for a Cloud Data Engineer to build and automate robust data pipelines on cloud platforms. You will transform raw data into usable formats for data scientists and analysts. Job Description: Key Responsibilities: :Design and deploy automated ETL/ELT pipelines to ingest data from various sources (APIs, databases, logs) into cloud data warehouses .Maintain cloud storage solutions (Data Lakes and Data Warehouses) .Monitor and tune query performance and cloud resource consumption to manage costs Technical Requirements: Cloud Platforms: AWS (Redshift, S3, Glue), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow) Languages: Advanced SQL (essential) and Python Data Processing: Apache Spark, Flink, or Kafka for real-time streaming Orchestration: Apache Airflow, dbt, or Prefect