Data Systems Architect Position

2 weeks ago

dindigul, India beBeeDataSystemsDeveloper Full time

Senior Data Systems DeveloperThe ideal candidate will lead the design, development, and optimization of large-scale data processing systems that support both batch and real-time analytics.Develop scalable, high-performance data pipelines using Azure Databricks, ADF, and Spark.Optimize Spark (Scala/PySpark) jobs for large-volume data processing and transformation, ensuring data consistency and integrity.Manage and integrate data from diverse sources including ADLS, Blob Storage, SQL databases, NoSQL stores, and streaming platforms, maintaining data quality and security.The successful candidate will collaborate with data architects, analysts, and data scientists to enable advanced analytics, machine learning workflows, and business insights.Key Responsibilities:Designing and building large-scale data processing systems that meet business requirements.Developing and optimizing data pipelines to ensure scalability, performance, and reliability.Collaborating with cross-functional teams to integrate data from various sources and formats.Ensuring data quality, consistency, and integrity throughout the data processing lifecycle.Benefits: The opportunity to work on cutting-edge data processing projects, professional growth and development, and a collaborative work environment.

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