Unlock Career Opportunities as a Data Pipeline Architect

2 weeks ago


meerut, India beBeeDataPipeline Full time

Job Title: Data Pipeline ArchitectJob Description:As a Senior Data Engineer, you will design and implement large-scale data pipelines that support both batch and real-time analytics. You will have hands-on experience in Azure Databricks, ADF, Synapse, Spark (Scala/PySpark), and modern ETL/data integration practices.Key Responsibilities:Design and build scalable, high-performance data pipelines using Azure Databricks, ADF, and Spark.Develop and optimize Spark (Scala/PySpark) jobs for large-volume data processing and transformation.Manage and integrate data from diverse sources including ADLS, Blob Storage, SQL databases, NoSQL stores, and streaming platforms.Implement and support real-time data streaming using Kafka, Spark Streaming, or Flink.Create and maintain ETL workflows, ensuring data quality, reliability, and consistency.Work with Azure Synapse Analytics, Snowflake, or BigQuery for warehousing and analytics solutions.Build and maintain CI/CD pipelines using Azure DevOps/Jenkins for automated deployments.Collaborate with data architects, analysts, and data scientists to enable analytics, ML workflows, and business insights.Optimize query performance, storage, cost, and compute usage across pipelines and cloud environments.Ensure data governance, security, lineage, and compliance best practices are followed.Preferred Qualifications:Experience in on-premise to cloud migration projects.Exposure to machine learning feature pipelines or MLOps workflows.Knowledge of data governance, security practices, and metadata/catalog tools.Certifications in Azure Data Engineer or related cloud technologies.



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