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Position Summary
1. Provide a library or an API(Application programming interface) embedded in the platform to partners by designing and developing framework to provide supports on 3rd party applications and partner services.2. Provide and maintain services that fulfill partner's needs by accurately identifying partner's requirements.
Role and Responsibilities
Define the technical and business requirements for data architecture
Design architecture that uses data from various sources
Design and maintain data storage solution
Define reliable and scalable data pipeline
Optimize existing data architectures and recommend efficiencies to data storage, retrieval and processing
Create data warehouse or pipeline designs based on data sources and business needs of organization
Analyze tradeoff of Machine learning techniques in commercial deployments in terms of compute and memory
Incorporate Security & Privacy Technologies in Data pipelines as required by Data and Privacy Regulations
Design and transform data into other formats as per needs
Skills and Qualifications
Bachelors/Masters degree (Computer Science or Related) with 8+ years of relevant experience
Hands on Python/Scala Programming, Large scale Data Processing using Spark, Working on AWS Infrastructure
8+ years of experience in defining and implementing data strategies
5+ years of experience integrating data in batch and near real-time
5+ years of experience with big data and deep understanding of associated technologies such as Redshift, Casandra, Hadoop, Spark, HBase, Hive, Solr, Flink and Kafka
Experience with Data Mining, Machine Learning and Predictive Analytics
Experienced Data Architect or Solution Architect with considerable exposure to data led environments
Specific experience defining Data Architecture, including future/target architectures
Knowledge of Data Analytics offerings from AWS, GCP or Azure
Establishing and embedding data management and governance processes
Experience working within agile led environments
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