Senior Big Data Developer

2 weeks ago


india beBeeBigData Full time

Job Title: Big Data EngineerRole OverviewA senior data engineer is needed to design, build and manage large-scale data pipelines that support both batch and real-time analytics using cloud technologies.Design scalable high-performance data pipelines using Azure Databricks, ADF and Spark.Develop and optimize Spark jobs for large-volume data processing and transformation.Manage and integrate data from diverse sources including ADLS, Blob Storage, SQL databases and streaming platforms.The ideal candidate will have hands-on experience in Azure Databricks, ADF, Synapse, Spark and modern ETL/data integration practices.ResponsibilitiesCreate 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.Key SkillsAzure Databricks, ADF and Synapse.Spark Scala PySpark.ETL data integration practices.Data architecture data science and analytics.RequirementsBachelor's degree in computer science or related field.5+ years of experience in big data engineering.Hands-on experience in Azure Databricks ADF and Synapse.Strong understanding of data architecture data science and analytics.About the RoleThis role requires a highly skilled data engineer with expertise in designing building and managing large-scale data pipelines. The ideal candidate will have hands-on experience in Azure Databricks ADF and Synapse and strong understanding of data architecture data science and analytics.



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