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Big Data Engineer

3 months ago

Gurgaon, Haryana, India Virtusa Full time
Big Data Engineer - CREQ190572 Description
Qualifications Bachelors degree in Engineering or Computer Science or equivalent OR Masters in Computer Applications or equivalent. 6+ years of software development experience and leading teams of engineers and scrum teams 3+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark) Solid Datawarehousing concepts Knowledge of Financial reporting ecosystem will be a plus

Expert on Distributed ecosystem Hands-on experience with programming using Core Java or Python/Scala Expert on Hadoop and Spark Architecture and its working principle Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data Experience in UNIX shell scripting Ability to design and develop optimized Data pipelines for batch and real time data processing Should have experience in analysis, design, development, testing, and implementation of system applications Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.


Preferred Qualifications:
Knowledge of cloud platforms like GCP/AWS, building Microservices and scalable solutions, will be an advantage 1 + years of experience in designing and building solutions using Kafka streams or queues Experience with GitHub/Bitbucket and leveraging CI/CD pipelines Experience with NoSQL , HBase, Couchbase, MongoDB is good to have Excellent technical and analytical aptitude Good communication skills Excellent Project management skills

6+ years of software development experience and leading teams of engineers and scrum teams
3+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark)
Solid Datawarehousing concepts Knowledge of Financial reporting ecosystem will be a plus

Expert on Distributed ecosystem Hands-on experience with programming using Core Java or Python/Scala Expert on Hadoop and Spark Architecture and its working principle Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data Experience in UNIX shell scripting
Ability to design and develop optimized Data pipelines for batch and real time data processing

Knowledge of cloud platforms like GCP/AWS, building Microservices and scalable solutions, will be an advantage 1 + years of experience in designing and building solutions using Kafka streams or queues
Experience with GitHub/Bitbucket and leveraging CI/CD pipelines Experience with NoSQL , HBase, Couchbase, MongoDB is good to have Excellent technical and analytical aptitude Good communication skills Excellent Project management skills

Primary Location Gurgaon, Haryana, India Job Type Experienced Primary Skills PySpark Years of Experience 6 Qualification
Qualifications Bachelors degree in Engineering or Computer Science or equivalent OR Masters in Computer Applications or equivalent. 6+ years of software development experience and leading teams of engineers and scrum teams 3+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark) Solid Datawarehousing concepts Knowledge of Financial reporting ecosystem will be a plus

Expert on Distributed ecosystem Hands-on experience with programming using Core Java or Python/Scala Expert on Hadoop and Spark Architecture and its working principle Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data Experience in UNIX shell scripting Ability to design and develop optimized Data pipelines for batch and real time data processing Should have experience in analysis, design, development, testing, and implementation of system applications Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.


Preferred Qualifications:
Knowledge of cloud platforms like GCP/AWS, building Microservices and scalable solutions, will be an advantage 1 + years of experience in designing and building solutions using Kafka streams or queues Experience with GitHub/Bitbucket and leveraging CI/CD pipelines Experience with NoSQL , HBase, Couchbase, MongoDB is good to have Excellent technical and analytical aptitude Good communication skills Excellent Project management skills

6+ years of software development experience and leading teams of engineers and scrum teams
3+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark)
Solid Datawarehousing concepts Knowledge of Financial reporting ecosystem will be a plus

Expert on Distributed ecosystem Hands-on experience with programming using Core Java or Python/Scala Expert on Hadoop and Spark Architecture and its working principle Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data Experience in UNIX shell scripting
Ability to design and develop optimized Data pipelines for batch and real time data processing

Knowledge of cloud platforms like GCP/AWS, building Microservices and scalable solutions, will be an advantage 1 + years of experience in designing and building solutions using Kafka streams or queues
Experience with GitHub/Bitbucket and leveraging CI/CD pipelines Experience with NoSQL , HBase, Couchbase, MongoDB is good to have Excellent technical and analytical aptitude Good communication skills Excellent Project management skills

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