Data Engineer with a Focus on Cloud Platforms

4 days ago


rajkot, India beBeeDataEngineer Full time

Job Title: Data Engineer with a Focus on Cloud PlatformsJob Summary:We are seeking an experienced Senior Data Engineer to join our team. The ideal candidate will have strong experience with cloud platforms, modern ETL/ELT tools, and deep technical skills in Python, SQL, and distributed data frameworks.Key Responsibilities:Design, develop, and maintain scalable and reliable ETL/ELT pipelines that support analytics and reporting needs.Build data models, data marts, and data warehouses to meet business requirements.Work with large-scale structured and unstructured datasets across multiple sources.Implement data quality, validation, and monitoring frameworks to ensure data integrity.Optimize existing pipelines for better performance, cost efficiency, and maintainability.Collaborate with cross-functional teams to gather and implement data requirements.Write optimized SQL queries and well-structured, maintainable Python code.Support production pipelines by troubleshooting issues and performing root cause analysis.Use version control, CI/CD, and automated deployment tools for data engineering tasks.Requirements:5+ years of hands-on experience in Data Engineering.Strong programming skills in Python and SQL.Experience with ETL frameworks (Airflow, dbt, Spark, Glue, Dataflow, etc.).Expertise in cloud data platforms (AWS, Azure, or GCP).Strong understanding of data modelling and data warehouse/lakehouse architectures.Experience working with big data tools (Spark, Kafka, Hadoop) is a plus.Experience with source control (Git) and CI/CD pipelines.Good problem-solving skills and ability to work in cross-functional teams.Preferred Qualifications:Experience with Snowflake, Redshift, BigQuery, Databricks, or Synapse.Exposure to event-driven or real-time data streaming architectures.Experience integrating with ML pipelines or supporting Data Science workloads.Familiarity with containerization (Docker, Kubernetes).



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