Data Engineer
Talent Software Services
Job Details
- Job Title: Data Engineer
- Candidate Location: Chula Vista, CA
- Duration: 6 months
- Experience: 4-8 years
- Experience Required: 8-10 years as listed in the requisition
- Work Arrangement: Onsite only
- Interview: In-person interview required at the customer location in Los Angeles.
- Build scalable data pipelines, analytics solutions, and business intelligence platforms.
- Transform raw data into actionable insights and support data-driven decision-making.
- Collaborate with:
- Business stakeholders
- Product teams
- Engineering teams
- Data consumers
- Apply strong expertise in:
- SQL
- Python
- Data warehousing
- Dashboard development
- Data visualization
- Design, develop, and maintain scalable data pipelines.
- Develop and maintain ETL/ELT processes .
- Build analytics solutions that convert large volumes of operational and transactional data into meaningful business insights.
- Develop data models and optimize SQL queries for reporting and analytics.
- Create dashboards and BI reports to monitor:
- Business KPIs
- Operational health metrics
- Executive reporting metrics
- Collaborate with business users, product teams, and engineering teams to gather requirements.
- Deliver data solutions based on business requirements.
- Implement data quality controls, monitoring, and alerting mechanisms.
- Support data migration, integration, and modernization initiatives.
- Participate in Agile ceremonies, including:
- Sprint planning
- Backlog grooming
- Stakeholder reviews
- Analyze business data and provide recommendations to improve operational efficiency and business performance.
- Data Engineering
- Data Pipeline Development
- ETL/ELT Processes
- Data Integration
- Data Modeling
- Data Warehousing
- Data Migration
- Data Quality Management
- Analytics Engineering
- SQL
- Presto SQL
- SAS SQL
- Python
- MySQL
- Snowflake
- Large-scale Analytics Platforms
- Data Storage and Processing Solutions
- Tableau
- SAP BusinessObjects
- Dashboard Development
- KPI Reporting
- Data Visualization
- Executive Reporting
- Jira
- Asana
- Agile/Scrum
- Requirements Gathering
- Stakeholder Management
- Experience supporting:
- Consumer technology
- Financial services
- Enterprise analytics environments
- Experience with user-level telemetry.
- Experience with operational analytics.
- Experience with real-time monitoring dashboards.
- Experience with AI-driven analytics or automation solutions.
- Strong understanding of business intelligence and reporting best practices.
- Experience working with cross-functional business and engineering teams.
- Bachelor's degree in:
- Information Technology
- Computer Science
- Information Systems
- Engineering
- Related field
- AI/ML Engineer
- AI/ML Engineer
- Data Engineering
- Python
- SQL
- Data Visualization
- Business Intelligence
- Analytics
- AI / Automation
- Digital: BI Data Visualization - Tableau
- Digital: NoSQL
- Agile DevOps for Senior Management
- Digital: Python for Data Science
- AI and Automation
- AI & Gen AI - Products & Tools
Vacancy posted 4 days ago
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