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Principal Data Analytics Engineer
3 days ago
What will you be responsible for?
A Data Analytics Engineer analyzes & profiles large amount of raw data to derive and present Business Insights for better decision making. They would provide best in class insights and intelligent services to end users by modeling data and creating insightful visualizations.
As a Principal Engineer in Data Analytics, you will Contribute to creating a robust vision for data analytics team within Providence India
What would your Day look like ?
- Contributing to end-to-end insights creation and enabling business analyst, produce managers and data scientists in deriving the insights.
- Delivering impactful visualization by working with other analytics team-members
- Showing an ever-learning mindset to strengthen understanding of global health care systems
- Building deep partnerships across multiple teams globally and in the industry
- Contributing to enterprise data model and enterprise data architecture
- Displaying agile mindset and applying that to delivering products at appropriate milestones
- Constantly monitoring usage and adoption of product features to introduce relevant feature upgrades.
- Engaging with the key stakeholders and influencing decisions related product goals, features and priorities.
Who We are looking for ?
- 10+ years’ experience working on analytics solutions. Has a strong passion for data and for building architecture, insightful reports and exploring large relational datasets.
- Experience working in Azure Databricks, Azure Data Lake, Power BI, SQL and Python
- Exposure to Microsoft Data Platform and Microsoft Fabric is a plus
- Experience in building End to end data solutions
- Conceptual understanding of relational, NoSQL databases, indexing, partitioning and parallel data processing
- Ability to write SQL/R/ Python scripts or any other scripting language to retrieve data
- Ability to build reports using any backend and visualization platform.
- Experience in cloud technologies (Azure/AWS) experience.
- Experience in highly Scalable Data systems like Apache Hadoop, Hive, Spark, Cube Development, distributed data architecture would be a plus.
- Experience in applied statistics and machine learning engineering is a plus.
- Experience in Healthcare domain would be a plus
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