
Science and technology company
Staff Data Engineer (Reporting & Analytics)-Bangalore
必备技能
AWS
GCP
Azure
Bring more to life.
At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.
Our 63,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.
Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.
Learn about the Danaher Business System which makes everything possible.
The Staff Data Engineer (Reporting & Analytics) is responsible for designing and improving Danaher’s data management & analytics function. The primary objective of this role is to build analytics strategies that align with business priorities and drive measurable business outcomes.
This position reports to the Sr. Director – Data Engineering and is part of the Core Technology & Planning is onsite based out of Bangalore,India.
In this role, you will have the opportunity to:
Data Engineer builds and maintains analytics-ready datasets optimized for reporting and dashboards for consumption by all Danaher Opcos.
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Enable self-service access through semantic layers, catalogues, and APIs, empowering data scientists, analysts, and business teams to consume data without deep pipeline knowledge.
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Partner with stakeholders to translate business questions into clear, accurate metrics.
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Ensure data accuracy, freshness, and consistency across reporting surfaces
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Implement testing, documentation, and quality checks for data analytics
The essential requirements of the job include:
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8+ years of experience in analytics engineering, reporting, or business intelligence roles
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Advanced expertise in Py Spark and building scalable ETL/ELT pipelines for analytics and reporting
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Hands-on delivery of Fabric or Databricks lakehouse solutions using medallion architecture (Dataflow Gen2, Fabric Pipelines, Py Spark Notebooks, One Lake/Lakehouse)
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Strong command of Power BI architecture, including Direct Query, Composite Models, RLS/OLS, and dashboards
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Proven experience with CI/CD, DevOps practices, and designing high‑volume, highly available cloud data pipelines on Azure or AWS
Travel, Motor Vehicle Record & Physical/Environment Requirements:
- Ability to travel to Washington DC and global Danaher sites, up to 10%
It would be a plus if you also possess previous experience in:
Experience with modern data warehouses (Snowflake, BigQuery, Redshift)
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Familiarity with cloud data platforms (AWS, Azure, GCP)
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Knowledge of data governance, metadata management, and data quality frameworks
Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
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关于Danaher

Danaher
PublicDanaher Corporation is an American healthcare company headquartered in Washington, D.C.. It develops products used for advances in biotechnology, life sciences, and diagnostics.
10,001+
员工数
Washington
总部位置
$160B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
2.8
薪酬
3.2
企业文化
4.1
职业发展
3.0
管理层
4.0
72%
推荐率
优点
Supportive management and leadership
Great team culture and collaboration
Excellent benefits and health plans
缺点
Heavy workload and frequent overtime
Fast-paced and stressful environment
Limited advancement opportunities
薪资范围
26个数据点
Junior/L3
Senior/L5
Junior/L3 · BI Developer
1份报告
$166,129
年薪总额
基本工资
$127,793
股票
-
奖金
-
$166,129
$166,129
面试评价
1条评价
难度
1.0
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Skills Assessment
5
Final Interview
6
Offer
常见问题
Administrative Skills
Behavioral/STAR
Past Experience
Software Proficiency
Time Management
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