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About the Role
This role involves collecting progress updates, consolidating them into reports, and participating in design and feature definition. You will be responsible for implementing robust and scalable data pipelines using the Microsoft Databricks Stack and collaborating with engineering teams for prototype integration. Strong communication skills are essential for conveying complex data insights to non-technical stakeholders. You will also develop and manage detailed L3-level project plans.
Responsibilities
- Collect progress updates from Squad on a regular basis.
- Consolidate updates into weekly project status reports and share with the Squad Leads for their review.
- Participate in early state design and feature definition activities.
- Implement robust data pipelines using Microsoft Databricks Stack.
- Create reusable and scalable data pipelines.
- Collaborate with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
- Convey complex data insights to non-technical stakeholders.
- Develop and manage L3-level project plans with sufficient details for tasks, milestones, and dependencies.
Requirements
- Minimum 5-7 years of practical experience.
- Azure cloud stack in-production experience.
Skills
- Knowledge and experience with relational and non-relational databases.
- Strong analytic skills related to working with structured and unstructured datasets.
- Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines.
- Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages.
- Strong proficiency in building JIRA dashboards based on tasks.
- Strong experience in Project Management will be considered as an additional advantage.
- Azure DevOps experience to deploy the data pipelines through CI/CD.
- Strong communication skills.
Experience Level
- 5-7 years
Education Level
- Bachelor’s degree in computer science, software engineering, information technology, or a related field.