High-Performance Data Engineer

4 days ago

bhavnagar, India beBeeData Full time

Job Title: Senior Data EngineerWe are seeking an experienced Senior Data Engineer to design, develop and maintain high-performance data pipelines and data systems. The ideal candidate will have a strong track record of working 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.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 Data Science, BI, Product and Engineering 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 & 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 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 / 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).Benefits:This role offers the opportunity to work on cutting-edge data engineering projects and collaborate with a talented team of professionals.

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