Bigdata Engineer

Responsibilities:

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.
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 Hadoop, Well versed with concepts of change data capture and 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.

Skills:

At least 3 to 9 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.
Candidate must speak and write well.

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