Job Location: Bangalore/Bengaluru
* Make mature decisions to support a high-performance and scalable product with a minimal footprint
* Address and improve any technical issues
* Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant and efficient systems
* Ability to translate and design functional web apps using HTML5, AngularJS, React , Node.js, and Mongo
* Binding of UI elements to JavaScript object models
* Create Unit and Integration tests to ensure the quality of code
* Be responsive to change requests and feature requests
* Write code that is cross-platform and cross-device compatible?
Responsibilities:
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and JSON and AWS RDS.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across tenants through Data access controls.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work with schema drift and metadata driven transformation pipelines
• Work with dynamic data schemas and persistence.
Qualifications:
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing containerized data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
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