Data Engineer Position Available

1 week ago

vadodara, India beBeeData Full time

Job Summary:We are seeking a Data Systems Architect to design, build and optimize high-performance data systems. 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.Main Responsibilities:Create scalable and reliable data pipelines using ETL/ELT frameworks.Develop data models, data marts, and data warehouses to support business intelligence and analytics needs.Work with large-scale structured and unstructured datasets across multiple sources.Implement data quality, validation, and monitoring frameworks to ensure data integrity.Optimize existing data systems 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 data systems by troubleshooting issues and performing root cause analysis.Use version control, CI/CD, and automated deployment tools for data engineering tasks.Evaluate and ensure compliance with data security, privacy, and governance standards.Required Skills & Qualifications: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 modeling 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.Preferred / Nice-to-Have Skills:Experience with Snowflake, Redshift, BigQuery, Databricks, or Synapse.Exposure to event-driven or real-time data streaming architectures.Experience integrating with machine learning pipelines or supporting data science workloads.Familiarity with containerization (Docker, Kubernetes).

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