High-Performance Data Systems Architect

3 days ago

Jamnagar, India beBeeDataEngineering Full time

Senior Data EngineerSeeking an experienced Senior Data Engineer to lead the design, implementation, and maintenance of high-performance data pipelines and systems. The ideal candidate will have a strong background in cloud platforms, modern ETL/ELT tools, and deep technical skills in Python, SQL, and distributed data frameworks.Design, develop, and maintain scalable and reliable ETL/ELT pipelines using industry-leading tools such as Airflow, dbt, Spark, Glue, and Dataflow.Build data models, data marts, and data warehouses to support analytics and reporting needs, ensuring seamless integration with BI and data science teams.Work with large-scale structured and unstructured datasets across multiple sources, leveraging expertise in data quality, validation, and monitoring frameworks.Implement data quality, validation, and monitoring frameworks to ensure data accuracy and consistency.Optimize existing pipelines for better performance, cost efficiency, and maintainability, utilizing expertise in cloud data platforms (AWS, Azure, or GCP).Collaborate with cross-functional teams to gather and implement data requirements, driving business growth through data-driven insights.Write optimized SQL queries and well-structured, maintainable Python code, ensuring scalability and reliability.Support production pipelines by troubleshooting issues and performing root cause analysis, minimizing downtime and maximizing uptime.Ensure compliance with data security, privacy, and governance standards, upholding the highest level of data integrity.RequirementsThe ideal candidate will possess:A minimum of 5 years of hands-on experience in Data Engineering.Strong programming skills in Python and SQL, with expertise in ETL frameworks (Airflow, dbt, Spark, Glue, Dataflow, etc.).Experience with cloud data platforms (AWS, Azure, or GCP), data modeling, and data warehouse/lakehouse architectures.Strong understanding of big data tools (Spark, Kafka, Hadoop) and source control (Git) and CI/CD pipelines.PREFERRED SKILLSThe following skills are highly desirable: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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