Job openings for Data Engineer in Bangalore

In addition to creating and maintaining an optimal pipeline architecture, key responsibilities for a Senior Data Engineer include:
Developing high-quality, high-performance, scalable applications using best practices and the latest generation of technologies
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
Assembling large, complex sets of data that meet non-functional and functional business requirements.
Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Building analytical tools/dashboards to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency
Creating and supporting internal APIs and products that enable workflows.
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
Following Agile best practices effectively and actively participate in all scrum ceremonies
Being part of a culture of continuous learning and improvement of both the team and codebase
Responding to and resolving production issues
Desired Skills
Ability to build and optimize data sets, data pipelines and architectures 
Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement
Excellent analytic skills associated with working on unstructured datasets 
Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
Experience with auto scaling, performance testing, and capacity planning
Experience owning infrastructure in production, as well as designing and creating build/deploy & monitoring systems
Exceptional analytical and problem-solving skills