Business Intelligence Engineer
Share
Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
If you have a Candidate Login already but have forgotten your password please use the steps to reset your password. If you have forgotten your email login please contact subject Workday Candidate Login
When creating your Workday account and entering personal information like name address please do not use ALL CAPS.
Thank you!
NOTICE:For Privacy Policy please review here
Job Responsibilities:
The Business Intelligence Engineer is a core member of Welo Datas analytics team responsible for designing building and maintaining the data infrastructure and transformations that power high-quality reliable insights across the organization. This role bridges the gap between data engineering and analytics by developing scalable data models orchestrating pipelines and enabling data accessibility for reporting and analysis.Working closely with Data Engineers Analysts and business stakeholders the Business Intelligence Engineer ensures that Welo Datas analytics environmentbuilt on AWS Redshift dbt Airflow and Power BIoperates efficiently reliably and in alignment with data governance and quality standards. This role plays a key part in advancing our cloud-based analytics platform ensuring the scalability performance and sustainability of our data ecosystem.
This role involves working with a distributed team across multiple time zones (primarily U.S. Pacific UTC & India Standard)
Main Duties
Data Pipeline Development and Management
Design build and maintaindata pipelines and ELT/ETL workflowsin AWS to support enterprise analytics and reporting.
Develop and optimizedbt modelsthat transform raw data into reliable well-structured datasets for business use.
Orchestrate workflows usingApache Airflow (MWAA)to ensure automation reliability and reproducibility of data processes.
Partner with the Data Engineering team to align data architecture and ensure schema design supports analytics and business requirements.
Monitor and optimize pipeline performance reliability and data quality across all layers of the data stack.
Analytics Enablement and Collaboration
Collaborate with analysts and business stakeholders to understand data needs and deliver governed high-quality datasets.
Build and maintainPower BI data modelsand support analysts in optimizing report performance and structure.
Ensure data models and transformations are well-documented version-controlled and tested as part of a matureCI/CD analytics workflow.
Engage with the broader analytics team to identify opportunities for automation standardization and improved data accessibility.
Data Governance and Quality Assurance
Support Welo Datas ongoing data quality and governance initiatives by ensuring accuracy consistency and traceability within pipelines and data models.
Collaborate with the Data Quality & Governance Lead to identify and resolve data quality issues and contribute to continuous improvement of data management processes.
Contribute to the development and maintenance of metadata lineage and documentation standards for analytics assets.
Agile Collaboration and Delivery
Participate in sprint planning retrospectives and backlog grooming using Jira to manage tasks and progress.
Document architecture decisions data models and workflows in Confluence to promote transparency and knowledge sharing.
Operate effectively in anAgile environmentbalancing technical rigor with responsiveness to evolving business needs.
Additional Job Details:
Qualifications
- Bachelors degree in Computer Science Information Systems or a related field strongly preferred; equivalent experience acceptable. Masters degree is a plus.
- Minimum of 3 years of experience in data engineering analytics engineering or a related role with demonstrated impact in building and maintaining data pipelines and models.
- Proficiency in SQL and dbt for data transformation and modeling.
- Hands-on experience with AWS services including Redshift S3 Lambda and Glue.
- Experience with Airflow (MWAA or similar orchestration tools) for workflow management.
- Familiarity with CI/CD workflows and version control using Git.
- Understanding of data warehousing concepts dimensional modeling and ELT design principles.
- Experience working within Agile methodologies with practical use of Jira and Confluence for planning and documentation.
- Excellent communication and collaboration skills with the ability to engage effectively across technical and non-technical stakeholders.
- (Preferred) Proficiency in Power BI including data modeling and performance optimization.
- (Preferred) Knowledge of Python for automation and data pipeline development.
Required Experience:
IC
Key Skills
- Business Intelligence
- Cognos
- SQL
- Power BI
- QlikView
- Data Visualization
- ssrs
- Tableau
- SSIS
- Data Modeling
- Data Warehouse
- Data Analysis Skills
About Company
Welocalize enables brands to reach and grow global audiences through services and solutions for translation, localization, adaptation, interpretation, and automation. We offer multilingual solutions to transform all content types for local audiences, at every step of our clients’ glob ... View more
