Aaura Softwares is seeking a Data Project Manager with a strong background in Data Engineering. The role involves leading the delivery of data engineering and analytics projects, managing timelines and resources, and ensuring adherence to best practices.
Responsibilities:
- Lead end-to-end delivery of data engineering and analytics projects
- Define project scope, timelines, budgets, and resource allocation
- Coordinate with business stakeholders, architects, data engineers, and QA teams
- Manage Agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog grooming
- Track project progress and provide regular status updates to leadership
- Identify project risks, dependencies, and mitigation strategies
- Ensure data engineering best practices and governance standards are followed
- Collaborate with cloud engineering teams for deployment and migration activities
- Monitor project KPIs, deliverables, and quality standards
- Drive continuous process improvements and delivery excellence
Requirements:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
- 8+ years of IT experience with 3+ years managing Data Engineering projects
- Strong understanding of Data Engineering concepts, ETL/ELT, data warehousing, and data pipelines
- Experience managing projects involving cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP)
- Experience with Agile/Scrum methodologies
- Proficiency in project management tools such as Jira, Azure DevOps, or Microsoft Project
- Excellent leadership, communication, and stakeholder management skills
- SQL
- Spark / PySpark
- Databricks
- Snowflake
- Microsoft Fabric
- Azure Data Factory (ADF)
- Apache Airflow
- Kafka
- Delta Lake
- Data Lake
- Power BI (preferred)
- Terraform (preferred)
- PMP
- Scrum Master (CSM/PSM)
- AWS Certified Solutions Architect
- Azure Fundamentals or Azure Data Engineer Associate
- Databricks Certified Data Engineer
- Microsoft Fabric Certification (preferred)
- Excellent communication and presentation skills
- Strong problem-solving abilities
- Leadership and team management
- Risk management