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:
โข Create and maintain optimal data pipeline architecture,
โข Assemble large, complex data sets that meet functional / non-functional business requirements.
โข Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
โข 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.
โข Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
โข Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
โข Keep our data separated and secure across tenants through Data access controls.
โข Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
โข Work with data and analytics experts to strive for greater functionality in our data systems.
โข Work with schema drift and metadata driven transformation pipelines
โข Work with dynamic data schemas and persistence.
Qualifications:
โข Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
โข Experience building and optimizing containerized data pipelines, architectures and data sets.
โข Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
โข Strong analytic skills related to working with unstructured datasets.
โข Build processes supporting data transformation, data structures, metadata, dependency and workload management.
โข A successful history of manipulating, processing and extracting value from large disconnected datasets.
โข Working knowledge of message queuing, stream processing, and highly scalable โbig dataโ data stores.
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