Oracle
BI Engineer
Job Description
Responsibilities:
- 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.
- 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.
- 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.
- Performance Optimization:
- Monitor and fine-tune Qlik applications for optimal performance.
- Identify bottlenecks, optimize data loading, and enhance query response times.
- Data Governance:
- Implement access controls, data lineage, and security measures.
- Ensure compliance with data privacy regulations.
- 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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