
Senior Business Intelligence Developer
4 days ago
Job Title: Associate Data Engineer
">Key Responsibilities:
- Design, build and deploy scalable enterprise analytics solutions using Databricks, Power BI, and other modern data management tools.
- Leverage data virtualization, ETL, semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation
- Break down features into work that aligns with the architectural direction runway
- Participate hands-on in pilots and proofs-of-concept for new patterns
- Create robust documentation from data analysis and profiling, and proposed designs and data logic
- Develop advanced SQL queries to profile, and unify data
- Develop data processing code in SQL, along with semantic views to prepare data for reporting
- Develop Power BI Models and reporting packages
- Design robust data models, and processing layers, that support both analytical processing and operational reporting needs
- Design and develop solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments
- Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms
- Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability
- Collaborate with partners to define data requirements, functional specifications, and project goals
- Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions
Required Skills and Qualifications:
- Bachelor's or Master's degree with 1-3 years experience in data engineering
- Minimum 1 year experience with BI solutions (Power BI or Business Objects) including report development, dashboard creation, and optimization
- Experience building change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management
- Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads
- Cloud platform (AWS), data lakes, and data warehouses experience
- Good communication and collaboration skills to work with cross-functional teams and senior leadership
- Ability to assess business needs and design solutions that align with organizational goals
Benefits:
- Competitive salary and benefits package
- Opportunity to work with a talented team of professionals
- Continuous learning and professional development opportunities
Others:
- Strong understanding of data governance, security, and compliance principles
- Ability to work in a fast-paced environment and adapt to changing priorities
- Excellent problem-solving and analytical skills
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