Java Fresher

"ResponsibilitiesArchitect and build: Design and implement scalable data architectures and pipelines on Azure, utilizing services like Azure Data Factory and Azure Synapse Analytics.Develop and optimize: Create and maintain data pipelines, including ETL/ELT processes, with a focus on performance and scalability, often using Python/PySpark and Databricks.Ensure data quality: Implement processes and checks to maintain data quality, integrity, and security across all data solutions.Collaborate: Work with data scientists, analysts, and other stakeholders to understand data needs and deliver effective solutions.Troubleshoot and monitor: Monitor data systems, troubleshoot performance issues, and ensure the smooth operation of data pipelines.Mentor and lead: Provide technical leadership and mentorship to junior data engineers.Document: Create and maintain comprehensive documentation for data workflows, processes, and best practices.

Qualifications

Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.Experience: 5+ years of experience in data engineering or a similar role.Azure expertise: Proven experience with Azure data services including Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.Databricks expertise: Advanced proficiency with Databricks, including cluster management, notebook development, and Delta Lake features.Technical skills: Strong knowledge of SQL, NoSQL databases, and big data technologies like Apache Spark (PySpark, Scala).Programming: Proficiency in programming languages like Python.Other skills: Experience with data warehousing, data modeling, and performance tuning. Excellent problem-solving and communication skills.Sr Azure Data Engineer Job Description Template - Expertia AIResponsibilities. Design and develop scalable data architectures on Azure. Implement and optimize data pipelines using Azure Data ..."