The Role
Designs and maintains data pipelines, data lakes, ETL processes, data integration workflows, and enterprise data platforms. Transforms and optimizes data using Databricks, Python, and SQL. Develops dashboards, reports, scorecards, and KPI solutions with Amazon QuickSight and Tableau. Works with PostgreSQL, Oracle, AWS RDS, and Starburst while ensuring data quality, performance, security, governance, and effective data modeling.
Summary Generated by Built In
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.
Skills Required
- 8+ years of experience in data engineering, data warehousing, analytics, and BI development
- Strong expertise with Databricks and data lake architectures
- Experience with Starburst, PostgreSQL, Oracle Database, and AWS RDS
- Strong Python and SQL skills
- Experience with Tableau and Amazon QuickSight
- Experience developing ETL processes and data integration workflows
- Experience designing and delivering enterprise-scale data products and analytics solutions
- Knowledge of data modeling, performance tuning, data governance, and best practices
- Knowledge of AI and machine learning concepts
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The Company
What We Do
Dawar Consulting Inc. is a professional services and staff augmentation firm specializing in IT consulting, workforce solutions, and HCM/HRIS services. They provide technology and business consulting, project delivery, and IT support to help clients achieve their strategic goals. With expertise across IT, Engineering, and Finance, they deliver best-in-class workforce solutions and innovative strategies to drive operational efficiency and business success.
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