Chief Data Infrastructure Architect

2 weeks ago

bareilly, India beBeeDataEngineer Full time

Senior Data Engineer OpportunityWe are seeking a highly skilled Senior Data Engineer to join our team. This role will involve designing, building, and optimizing high-performance data pipelines and data systems.Key Responsibilities:Design, develop, and maintain scalable and reliable ETL/ELT pipelines.Build data models, data marts, and data warehouses to support analytics and reporting needs.Work with large-scale structured and unstructured datasets across multiple sources.Implement data quality, validation, and monitoring frameworks.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.Ensure compliance with data security, privacy, and governance standards.Required Skills & Experience: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.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 ML pipelines or supporting Data Science workloads.Familiarity with containerization (Docker, Kubernetes).

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