Exp – 7+
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Key Responsibilities
Key Responsibilities
- Develop Big Data applications using Spark (Scala-Spark or PySpark), Hadoop, Hive and/or Kafka, HBase, MongoDB
- Understanding of Machine Learning models
- Working knowledge on Public Cloud / Private Cloud platforms
- Total IT / development experience of 7+ years
- Experience in Spark (Scala-Spark and PySpark) developing Big Data applications on Hadoop, Hive and/or Kafka, HBase, MongoDB
- Deep knowledge of Spark-Scala and PySpark 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 in deploying on Cloud platforms
- At least 3 years of development experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Scala-Spark
- At least 3 years of development experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing and RDBMS
- At least 4 years of developing applications in Agile with Monitoring, Build Tools, Version Control, Unit Test, TDD, CI/CD, Change Management to support DevOps
- At least 6 years of development experience on Data technologies
Exp – 4+
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Key Responsibilities
Key Responsibilities
- Develop Big Data applications using Spark (Scala-Spark or PySpark) on Hadoop, Hive and/or Kafka, HBase, MongoDB
- Total IT / development experience of 3+ years
- Experience in Spark (Scala-Spark and PySpark) developing Big Data applications on Hadoop, Hive and/or Kafka, HBase, MongoDB
- Deep knowledge of Scala-Spark and PySpark 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/PySpark
- 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 DevOps
- Banking domain knowledge
- Hands-on experience in SAS toolset / statistical modelling migrating to Machine Learning models
- Banking Risk, Fraud or Digital Marketing Machine Learning models and use cases
- ETL / Data Warehousing, SQL and Data Modelling experience prior to Big Data experience
You can submit your profile using the application form, and we will reach out if we have a suitable opening for you.
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