Chief Data Pipeline Architect

2 days ago

agra, India beBeeDataEngineer Full time

Job Opportunity: Senior Data EngineerElevate data management by designing, building, and optimizing high-performance data pipelines and systems.Develop scalable and reliable Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines to ensure seamless data flow.Construct robust data models, marts, and warehouses to support business analytics and reporting needs.Analyze and work with large-scale structured and unstructured datasets across multiple sources.Implement effective data quality, validation, and monitoring frameworks to maintain data integrity.Enhance existing pipelines for improved performance, cost efficiency, and maintainability.Collaborate with cross-functional teams including Data Science, Business Intelligence, Product, and Engineering to gather and implement data requirements.Compose optimized SQL queries and well-structured, maintainable Python code.Ensure production pipeline stability by troubleshooting issues and performing root cause analysis.Leverage version control, Continuous Integration/Continuous Deployment (CI/CD), and automated deployment tools for data engineering tasks.Maintain compliance with data security, privacy, and governance standards.Required Skills and Qualifications:5+ years of hands-on experience in Data Engineering.Strong programming skills in Python and SQL.Proficiency in ETL frameworks (Airflow, dbt, Spark, Glue, Dataflow, etc.).Expertise in cloud data platforms (AWS, Azure, or GCP).In-depth understanding of data modeling and data warehouse/lakehouse architectures.Experience working with big data tools (Spark, Kafka, Hadoop) is a plus.Familiarity with source control (Git) and CI/CD pipelines.Excellent problem-solving skills and ability to work collaboratively.What We Offer:A dynamic and challenging work environment.Ongoing training and professional development opportunities.A collaborative team atmosphere.The chance to work on high-profile projects.

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