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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

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