Principal Data Analytics Engineer
As a Principal Engineer in Data Analytics, you will
- Contribute to creating a robust vision for data analytics team within Providence India.
- Perform and review standards, own complicated modules, and establish design and development approach as needed.
- Guide other Data Engineers by coaching and mentoring team members to deliver on time and with high quality
- Engage with stakeholders globally and participate in decisions related to product goals, features, and priorities.
- Champion healthy team culture aligned with the mission and values of Providence i.e., Integrity, Compassion, Dignity, Respect, Justice
- Create insightful dashboards and robust metrics working along with business analyst, product managers and data analytics engineers
- Show an ever-learning mindset to strengthen understanding of global health care systems.
- Participate and contribute to industry learning and stay up to date with latest trends and findings.
Who are we looking for?
- 9+ years’ experience working on Business Intelligence solutions with strong hold on the fundamental concepts of data modeling, ETL , Reporting
- Holds the ability to derive meaningful insights from raw data and create impactful visualization
- Expertise to build reports using PowerBI, Tableau or any other reporting tool
- Seeks to create strong partnerships within PGC and across Providence with other Data / Solution Architects and contributes to the enterprise data models.
- Gains understanding of the existing systems in Providence and proposes architecture/design changes as applicable for better scalability, maintenance, and cost efficiency.
- Gains understanding of industry best practices and finds opportunities to apply them within the Providence Healthcare Intelligence landscape to deliver best-in-class services to customers.
- Hands-on experience with relational, NoSQL databases, indexing, partitioning, parallel data processing and dimensional data modelling
- Ability to write SQL/R/ Python scripts or any other scripting language to retrieve data
- Experience in cloud technologies (Azure/AWS) experience.
- Responsible for the building, deployment, and maintenance of mission critical analytics solutions that process data quickly at big data scales
- Advocates and supports Agile development methodologies
- The individual must have experience in executing the various software development lifecycle (SDLC) activities – user stories, use cases, software requirements, design, development and design verification
- Provide technical direction to a world class engineering team
- Collaborate with stakeholders to develop new business and manage existing client relationships
- Experience in highly scalable Data systems like Apache Hadoop, Hive, Spark, Cube Development, distributed data architecture would be a plus.
- Experience in Healthcare domain would be a plus