About the Role
The role involves actively collecting progress updates from the Squad on a regular basis and consolidating these updates into weekly project status reports for review by Squad Leads. You will participate in early-stage design and feature definition activities, as well as be responsible for implementing robust data pipelines using the Microsoft Databricks Stack. The position requires creating reusable and scalable data pipelines and involves collaboration with team members across multiple engineering teams to integrate proven prototypes into core intelligence products. Strong communication skills are essential, as you'll need to effectively convey complex data insights to non-technical stakeholders. Additionally, you will develop and manage L3-level project plans that include sufficient detail for tasks, milestones, and dependencies.
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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 stage design and feature definition activities.
- Implement robust data pipeline 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 effectively.
- Develop and manage L3-level project plans with sufficient detail for tasks, milestones, and dependencies.
Requirements
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.
- Proficiency in building JIRA dashboards based on tasks.
- Strong experience in Project Management will be considered an additional advantage.
- Azure DevOps experience to deploy the data pipelines through CI/CD.
Qualifications and Experience:
- Minimum 5-7 years of practical experience.
- Bachelor’s degree in computer science, software engineering, information technology, or a related field.
- Azure cloud stack in-production experience.
