Harman

Preferred experience includes:
Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks. 
· Deploy and provide support for application codes and analytical models.
· Create and enhance data solutions that enable seamless integration and flow of data across the data ecosystem. 
· Provide business analysis and develop ETL code and scripting to meet all technical specifications and business requirements according to the established designs. 
· Develop real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python and Hadoop Platform. 
· Utilize multiple development languages/tools such as Python, SPARK, Hive, Presto, Java to build prototypes and evaluate results for effectiveness and feasibility. 
· Develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance and integrity.  
· Offer system support as part of a support rotation with other team members. 
· Operationalize open source data-analytic tools for enterprise use. 
· Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification. 
· Understand and follow the company development lifecycle to develop, deploy and deliver the solutions.   
· Designs and develops data ingestion frameworks leveraging open source tools and data processing frameworks.
· Designs and develops complex and critical data projects.
· Develops, implements, and supports application codes and analytical models.
· Creates and enhances data solutions that enable seamless integration and flow of data across the data ecosystem.
· Designs and develops real time processing solutions