Description

Key Skills: ETL, Hadoop, Hive, Bigdata, GCP, AWS

Roles and Responsibilities:

  • Lead the creation of efficient ETL workflows to extract, transform, and load data into Transaction Monitoring systems.
  • Implement data validation and cleansing techniques to ensure high data quality and integrity.
  • Collaborate with developers and architects to design scalable and sustainable solutions that meet business needs.
  • Ensure compliance with industry standards and best practices in all engineering work.
  • Troubleshoot and resolve technical issues to optimize data flows within Transaction Monitoring.

Skills Required:

  • Strong expertise in ETL design and development, handling complex data pipelines and workflows
  • In-depth knowledge of Hadoop ecosystem tools including HDFS, Hive, and MapReduce
  • Hands-on experience with Big Data technologies for large-scale data processing and storage
  • Proficient in HiveQL for querying and managing data in Hadoop-based data warehouses
  • Familiarity with cloud platforms such as AWS and GCP, particularly in deploying data solutions
  • Experience with data quality, validation, and cleansing to ensure accuracy and integrity
  • Understanding of data governance, compliance requirements, and financial crime detection systems
  • Strong problem-solving skills and ability to optimize performance of data flows
  • Ability to collaborate with cross-functional technical teams, including architects and developers
  • Exposure to agile methodologies and version control tools (e.g., Git, Jenkins) in data projects

Education: Bachelor's degree in Computer Science, Engineering, or a related field

Key Skills
Education

Any Graduate

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