Posted:2 weeks ago|
Platform:
On-site
Full Time
Role : Bigdata Developer Scala Spark Exp : 5+ of Work : WFO All 5 : : Any one Level : Immediate to 30 days only serving Description : Total IT / development experience of 3+ years. Experience in Spark (Scala-Spark ) developing Big Data applications on Hadoop, Hive and/or Kafka, HBase, MongoDB. Deep knowledge of Scala-Spark libraries to develop and debug complex data engineering challenges. Experience in developing sustainable data driven solutions with current new generation data technologies to drive our business and technology strategies. Exposure to deploying on Cloud platforms. At least 2 years of development experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Spark-Scala. At least 2 years of development experience in the following Big Data frameworks : File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing and RDBMS. At least 2 years of developing applications in Agile with Monitoring, Build Tools, Version Control, Unit Test, Unix Shell Scripting, TDD, CI/CD, Change Management to support Responsibilities : Develop and maintain data pipelines using ETL processes Take responsibility for Apache Hadoop development and implementation Work closely with data science team to implement data analytics pipelines Help define data governance policies and support data-versioning processes Maintain security and data privacy, working closely with data protection officer Analyze vast number of data stores to uncover insights (ref:hirist.tech) Show more Show less
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Pune, Maharashtra, India
Salary: Not disclosed
Pune, Maharashtra, India
Salary: Not disclosed