Sr, Data Engineer

• Delivery Management: Oversee the data engineering development lifecycle. Ensure projects are finished on time and fit business needs.

• Risk & Quality Control: Track project metrics, fix issues, and manage risks to keep team productivity high.

• Stakeholder Interaction: Work directly with analytics and business leaders to align technical plans with business goals.

Core Requirements

• Experience: 6 to 8 years in data engineering with previous team management.

• Technical Skills:

  • Strong development background in modern data stacks on-prem and cloud : AWS / Azure. Expertise in SQL, Python, PySpark.

  • Sound understanding of DB Design, Data Modelling, Data Management and Governance, Building semantic models.

• Frameworks: Strong knowledge of Agile practices, Scrum, and project tracking tools like Jira.

  • Soft Skills: Great communication, conflict resolution, and problem-solving abilities.