Big Data Developer

2 months ago

Bangalore, India ACL Digital Full time
Senior Big Data Engineer

Experience : 5+ Year sLocation : Bangalor eWork Mode : Hybrid (3 days work from Office

) Mandate Skil lsHadoop, Spark and Sca

la The candidate should have minimum 4 years relevant experience in Sca la.He/She should have current project experience in both Spark and Sca

la. Responsibili tiesCreate and maintain optimal data pipeline architec tureAssemble large complex data sets that meet functional / non-functional business requireme nts.Identify design and implement internal process improvements: automating manual processes optimizing data delivery, coordinating to re-design infrastructure for greater scalability etc.Work with stakeholders including the Executive Product Data and Design teams to assist with data-related technical issues and support their data infrastructure ne eds.Keep our data separated and se cureWork with data and analytics experts to strive for greater functionality in our data syst ems.Support PROD sys

tems Qualifica tionsMust have About 5+ years experience with Big data.Must have Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amount of data.Must have experience in Hadoop, Hive, Spark Scala Python with good experience in performance tuning and debugging is sues.Good to have any stream processing Spark/Java K afka.Must have experience in design and development of Big data proj ects.Good knowledge in Functional programming and OOP concepts, SOLID principles, design patterns for developing scalable applicat ions.Familiarity with build tools like M aven.Must have experience with any RDBMS and at least one NoSQL database preferably Postgr esSQLMust have experience writing unit and integration tests using sca liestMust have experience using any versioning control sy st em - GitMust have experience

with CI / CD pipe line Jenkins is a plusBasic hands-on experience in one of the cloud provider (AWS/Azure) is a plusDatabricks Spark certification is a

plus.

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