Job Location: Bangalore/Bengaluru

• 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

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