Big Data Architect

2 months ago


Delhi, India Affine Full time
Primary Role :Resource and Project Timeline EstimationDefining project and program management processPrioritizing task within project: Task allocation across resources – capable of evaluating resources by their skills and improvement areas - prioritizes resource developmentContributes to org-level activities such as sales collaterals, designing proposals, guiding teams through Proof of Concepts and trainingRecruit, train, develop and supervise team of Associates & ConsultantsSpecialized in Big Data domainUnderstanding the upstream data designing efficient data pipelines, building data marts, having the transformed data exposed to downstream applications.Should be comfortable in building and optimizing performant data pipelines which include data ingestion, data cleansing and curation into a data warehouse, database, or any other data platform using Spark with Python or Scala or Java.Hands on experience on very large data set operationsDeliver good solutions against tight timescalesExcellent presentation, documentation, communication and influencing skills as well as skills which present/influence technology direction in business context to the stakeholdersMust be able to write and understand complex SQL queries.Expertise in requirement gathering, technical design and functional documents.Should have proven experience in delivering projects using Agile frameworks such as Scrum, KanbanExperience in leading conversations with clients and onsite counterpartsStrong analytical and logical skills.Must be able to comfortably tackle new challenges and learn.Must have strong verbal and written communication skills.

Competences Required:Experienced in managing Big Data related projectsUnderstanding of Big Data Hadoop Ecosystem components like HDFS,spark, EMR and HiveStrong knowledge of Python/scala, SQLStrong knowledge in pyspark/sparkGood Understanding of Cloud technologies (AWS/GCP/Azure) - AWS preferredGood to have knowledge on Kafka, CICD, Microservices



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