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Spark/Hadoop Engineer 306784

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$6500 to $10000 (Monthly)

Posted a year ago

Job Purpose :

The position exists to continuously enhance the efficiency of existing Data pipeline Job/framework and setup a best practice for Big Data projects planned on the BI & Analytics platform.

Key Accountability :

  • Review and tune the code for the Spark framework to increase the throughput.

  • Establish best practices and guidelines to be followed by tech teams while writing codes in Spark.

  • Create a framework to continuously monitor the performance and identify the resource intensive jobs.

Job Duties & responsibilities :

  • Able to write code, services and components in Java, Apache Spark and Hadoop.

  • Responsible for systems analysis Design, Coding, Unit testing, CICD and other SDLC activities.

  • Proven experience working with Apache Spark streaming and batch framework.

  • Proven experience in performance tuning Java, Spark based applications is a must.

  • Knowledge of working with different file formats like Parquet , JSON and AVRO.

  • Data Warehouse experience working with RDBMS and Hadoo, Well versed with concepts of change data capture and SCD implementation.

  • Hands-on experience in writing codes to efficiently handle files on Hadoop.

  • Ability to work in projects following Micro Services based architecture.

  • Knowledge of S3 will be a plus.

  • Ability to work proactively, independently and with global teams.

  • Strong communication skills should be able to communicate effectively with the stakeholders and present the outcome of analysis.

  • Working experience in projects following Agile methodology is preferred.

Required Experience :

At least 3 plus years of working experience, preferably in banking environments

Expert knowledge of technologies e.g. Hadoop, Hive, Presto, Spark, Java, RDBMS like Teradata and File storage like S3 are necessary.

Core Competencies :

· Experienced on Hadoop frameworks such as Hive, Spark, Java.

· Strong knowledge of relational database systems and data warehousing techniques.

· Strong listening and communication skill set, with ability to clearly and concisely explain complex technical issues.

If you have questions about this job, please click on apply. The employer will contact you then.


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Founded in 2004, a leading IBM Business Partner in ASEAN, servicing over 50 customers. Headquartered in Singapore, with dedicated offshore center in all countries. 

Operating Countries – Singapore, Malaysia, Philippines, Dubai, Thailand, India and Australia.


Market Relevance – Business Analytics & optimization, Datawarehouse, Big Data implementations , Enterprise Marketing Management solutions , Business Process Management Solutions, Mobile First related competencies and all IBM Technologies.