What are the responsibilities and job description for the Business Intelligence Developer position at MW Partners LLC?
Job Details
Job Details:
Position: Business Intelligence Developer Location: Downey, CA (hybrid) Duration: 5 months
Job Description:
Key Responsibilities:
Solution Architecture:
- Evaluate data ingestion methods, data transformation pipelines, and data visualization techniques to optimize data analysis workflows.
- Create data models and schema designs that facilitate efficient querying and data retrieval.
- Ensure data security and compliance with relevant regulations by implementing appropriate access controls and encryption strategies.
- Assist in the review and enhancements of the data architectures leveraging Google Cloud Platformservices like BigQuery, Dataflow, Cloud Storage, Cloud SQL, and CloudFunctions to meet complex data processing needs.
- Proficiency in writing DBT models (sources, models, tests, snapshots), managing DBT projects, and utilizing DBT's features (version control, documentation, testing)
- Building and maintaining robust data pipelines using tools like Apache Airflow, Prefect, or similar.
- Understanding and implementing data extraction, transformation, and loading processes.
- Implementing data quality checks and validations within DBT models (e.g., data type checks, uniqueness constraints, null checks).
- Utilizing DBT's testing framework or other testing tools to ensure data accuracy and integrity.
Cloud Integration:
- Integrate data from diverse sources (on-premise, cloud-based applications, APIs)into BigQuery using data ingestion tools and techniques.
- Develop data integration workflows to ensure data consistency and quality across different systems.
- Leverage other Google Cloud Platform services like Cloud Dataflow for real-time data processing and stream analytics.
Collaboration and Communication:
- Work closely with data analysts, business stakeholders, and software engineers to understand data requirements and translate them into actionable insights.
- Document technical design decisions and provide clear explanations of complex data concepts.
- Proactively identify potential issues and propose solutions to ensure data quality and system reliability.
- Deep understanding of data warehousing principles, data modeling, and dimensional design.
- Expertise in SQL and proficiency in other programming languages like Python for data manipulation, automation, and interaction with APIs.
- Familiarity with data visualization tools to present insights effectively.
- Knowledge of cloud computing concepts and best practices on Google CloudPlatform.
- Proven experience in designing and implementing data solutions using Google BigQueryand other Google Cloud Platform services.
- Strong SQL skills with expertise in complex query optimization.
- Experience with data ingestion and transformation techniques.
- Excellent problem-solving and analytical abilities.
- Ability to work independently and as part of a team.
- Google Cloud Platform certifications (e.g., Certified Professional Data Engineer, Certified Professional Cloud Architect) are highly desirable.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
