Oracle

BI Engineer

Job Description

Responsibilities:

  1. Data Extraction and Transformation:
    • Extract data from Databricks and Snowflake using appropriate connectors and APIs.
    • Transform raw data into a format suitable for Qlik applications, ensuring data quality and consistency.
    • Implement ETL processes to harmonize data across platforms.
  2. Qlik Application Development:
    • Design and develop Qlik applications, dashboards, and visualizations.
    • Create data models within Qlik, optimizing performance and usability.
    • Collaborate with business users to understand requirements and translate them into effective Qlik solutions.
  3. Integration with Databricks and Snowflake:
    • Establish seamless connections between Qlik and Databricks/Snowflake.
    • Leverage APIs, SQL queries, and data pipelines to fetch relevant data.
    • Ensure data consistency and accuracy during integration.
  4. Performance Optimization:
    • Monitor and fine-tune Qlik applications for optimal performance.
    • Identify bottlenecks, optimize data loading, and enhance query response times.
  5. Data Governance:
    • Implement access controls, data lineage, and security measures.
    • Ensure compliance with data privacy regulations.
  6. Collaboration and Documentation:
    • Work closely with cross-functional teams, including data engineers, analysts, and business stakeholders.
    • Document data integration processes, data flows, and best practices.

Qualifications:

  • Proven experience as a software developer with exposure to Qlik.
  • Strong proficiency in SQL for querying Databricks and Snowflake.
  • Familiarity with ETL concepts and data modeling.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration abilities.

Additional Notes 

  • Ideal to have some background knowledge around Finance / Investment Banking / Fixed Income / OCIO Business 

Career Level - IC2


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