Understand the business requirements and translate the requirements into project specific solution design specifications
Own the solution / design of a particular solution offering specific to the project
Spearhead product/application/solution design and development
Provide expertise to identify and translate system requirements into software design documentation
Work with product managers to translate requirements into solutions for engineering managers
Coordinate with engineering managers and engineering leads to ensure solutions are implemented with cohesiveness and integrity, arbitrate key technical decisions across scrum teams
Function as the technical authority for product managers/owners, scrum masters, and engineering managers
Work with a chief architect and senior leadership on technical visions and roadmap
Act as Subject Matter Expert and strategist for solution product area
Work with technical writers to ensure quality internal and external client-oriented documentation
Build and maintain repository for deliverables, methodologies, and business development documents
Interface and coordinate tasks with internal and external technical resources.
Collaborates with Project Managers and technical directors to provision estimates, develop overall implementation solution plan, and serve as a lead as required, to implement the installation, customization, and integration efforts
Oversee aspects of project life cycle, from initial kickoff through requirements analysis, design and implementation phases for projects within the solution area
Provide quality assurance for services within the solution area
BE / B.Tech / ME / M.Tech in CS or other branches of engineering
Experience in enterprise software solutions in the capacity of software architect, solution architect, or engineering leader
Experienced in building Big Data Pipelines (Batch and NRT) on Hadoop using Spark and Scala/Python combination. Well versed with performance tuning of compute heavy workloads.
Exposure to build Big Data Lake on-premise or on AWS/Azure/GCP Cloud. Solid understanding of Data Security, Data Quality and Data Governance.
Good experience in database and hands-on experience in big data technologies. Big Data technologies such as Hadoop/Hive/Spark with experience with specific distributions such as Cloudera, HortonWorks, MapR will be a big plus. Proven track record of consistently architecting, designing, developing and/or implementing an end—to-end Big Data Lake / Business Intelligence / Data Science project.
Proficient in Python, Java, Scala, or C++
Strong software engineering fundamental; Strong problem-solving & debugging skills with critical thinking ability.
Knowledge of Healthcare experience
Strong collaboration and communication skills within and across teams
Strong analytical skills – ability to develop an idea into solution, define features, qualitative and quantitative analysis.
Big Data and Machine learning experience
Experience with Microservices
Development experience in cloud (Public and Private)
Experience with data streaming technologies would be nice to have
