Data Architecture Leader

2 weeks ago

ahmedabad, India beBeeDataArchitecture Full time

About the JobWe are seeking a highly skilled Data Architect to design and develop robust data acquisition frameworks that support large-scale analytics and operational data systems.You will be responsible for building scalable ETL/ELT pipelines using Databricks (PySpark/Scala) and integrate with Snowflake for analytics workloads.Job TitleData Architect – Data AcquisitionSkillsKafka, Python, Spark, Databricks, SQL, Snowflake, Azure Data Factory (ADF), XML, JSON, Scala (Basic)Experience Required : 5+ YearsLocation: RemoteNotice Period: Immediate to 15 Days PreferredDesign, develop, and maintain data ingestion and transformation pipelines in an Azure-based environment.Work with Kafka for real-time data streaming and message queuing.Build scalable ETL/ELT pipelines using Databricks (PySpark/Scala) and integrate with Snowflake for analytics workloads.Develop and optimize SQL queries and stored procedures for performance and data accuracy.Utilize Azure Data Factory (ADF) to orchestrate workflows and integrate with various data sources.Work with structured and semi-structured data formats such as XML, JSON, Parquet, and CSV.Collaborate with data architects, analysts, and business teams to deliver high-quality, reliable data pipelines.Ensure code quality, version control, and data security best practices are followed.Contribute to data architecture design discussions and provide technical recommendations for system improvements.Key ResponsibilitiesEnd-to-end development of data acquisition solutions for operational and analytical systems.Implement data transformation logic using Spark and Python.Optimize performance of large-scale data pipelines in Databricks/Snowflake.Handle real-time and batch data ingestion via Kafka and ADF.Conduct data validation, profiling, and documentation of technical specifications.Qualification & CertificationBachelor's degree in Computer Science, Information Technology, or related field.Microsoft Azure or Snowflake certification (preferred).Strong understanding of modern data engineering best practices.BenefitsWe offer a collaborative culture, growth opportunities, and people-first approach. Our team members have access to cutting-edge technology solutions and continuous learning opportunities.OthersAt our company, we prioritize innovation, agility, and customer satisfaction. We strive to create a positive impact on society through our digital transformation services.],

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