Senior Data Engineer & BI Developer (Hybrid)
- San Mateo, CA, United States
$90 to $98 USD / hour
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Job details
- Pay
- $90 to $98 USD / hour
- Experience
- 8+ years of experience in Data Engineering, Data Warehousing, Analytics, and BI Development.
- Posting language
- English
- Posted
Original job description
Our client, a world leader in biotechnology and life sciences, is looking for a "Senior Data Engineer & BI Developer” based in Foster City, CA.
Job Duration: Long Term Contract (Possibility Of Extension)
Rate: $90-98/hr on W2 (DOE)
Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K
Overview
This role focuses to design, develop, and maintain data pipelines, data platforms, and business intelligence dashboards. The ideal candidate will have strong hands-on experience with Databricks, Python, SQL, and Amazon QuickSight, along with expertise in data engineering, cloud databases, and BI reporting.
Key Responsibilities
- Develop and maintain data pipelines, data lakes, ETL processes, and data integration workflows.
- Use Databricks, Python, and SQL to transform and optimize data.
- Build dashboards, reports, scorecards, and KPIs using Amazon QuickSight and Tableau.
- Work with databases including PostgreSQL, Oracle, AWS RDS, and Starburst.
- Ensure data quality, performance, security, and governance.
Required Qualifications
- 8+ years of experience in Data Engineering, Data Warehousing, Analytics, and BI Development.
- Strong expertise in: Databricks and Data Lake architectures, Starburst, PostgreSQL, Oracle Database, AWS RDS, Python, SQL, Tableau, Amazon QuickSight, ETL development and data integration
- Experience designing and delivering enterprise-scale data products and analytics solutions.
- Strong knowledge of data modeling, performance tuning, data governance, and best practices.
- Knowledge on AI and machine learning concepts is a plus.
If interested, please send us your updated resume at hr@dawarconsulting.com/lakshmi@dawarconsulting.com.
More about this job
Skills
- Databricks
- Python
- SQL
- Data engineering
- Reporting
- Tableau
- PostgreSQL
- Oracle
- AWS
- Data warehousing
- Google Analytics
- Oracle Database
- Data modelling
- Machine learning