ETL Engineer (Insurance), Contract

A renowned insurance firm is looking for a junior data/ ETL engineer with insurance industry background to work on regional projects Responsibilities: Peform the Extract, Transform, and Load (ETL) process for data pipelines Construct ETL job pipelines using ETL tools Manage ETL job scheduling and optimize data load Identify gaps in the ETL pipeline and execute data normalization to enhance data processing Gain extensive exposure to various database technologies and automation Design, create

Morgan McKinley - Hong Kong - Full time

Salary: Competitive

A renowned insurance firm is looking for a junior data/ ETL engineer with insurance industry background to work on regional projects

Responsibilities:
  • Peform the Extract, Transform, and Load (ETL) process for data pipelines
  • Construct ETL job pipelines using ETL tools
  • Manage ETL job scheduling and optimize data load
  • Identify gaps in the ETL pipeline and execute data normalization to enhance data processing
  • Gain extensive exposure to various database technologies and automation
  • Design, create, document, and implement comprehensive data pipelines and integration processes, encompassing both batch and real-time data processing
  • Perform data analysis, profiling, cleansing, lineage, mapping, and transformation
  • Develop ETL/ELT jobs, workflows, and deploy data solutions
  • Monitor and suggest improvements for data quality, reliability, efficiency, and cleanliness
  • Optimize and fine-tune ETL/ELT processes
  • Recommend and implement best practices in data management and data lifecycle processes
  • Prepare test data and support the creation and execution of test plans.
  • Collaborate with Data Architect, Data Modeler, IT team members, SMEs, vendors, and business stakeholders to comprehend data requirements and implement data solutions
  • Provide ongoing support for data issues and change requests, documenting all investigations, findings, recommendations, and resolutions
Requirements:
  • Over 2 years of work experience in the insurance or finance industry
  • Knowledge of IBM DataStage or equivalent ETL software
  • Strong communication skills to effectively communicate and present technical information in a clear and unambiguous manner
  • Familiarity with ETL/ELT frameworks, data warehousing concepts, data management frameworks, and data lifecycle processes
  • Experienced in handling and processing diverse data types (structured, semi-structured, and unstructured)
  • Thorough understanding of various database technologies (RDBMS, NoSQL, and columnar)
  • Profound comprehension of programming languages such as Python
  • Strong ability to work independently and collaborate with diverse teams in a multi-stakeholder environment
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