Experience in leading, hiring, developing and building data engineering team and providing them technical direction.
Experience managing Annual performance reviews, setting SMART goals for team members and invested lead in team member career development.
Experience working with cloud technologies and big data stack be it Amazon AWS, Snowflake, Microsoft Azure or Google GCP.
Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data.
Bachelor’s Degree or Equivalent with 10+ years of experience in data engineering, computer science or statistics field with at least 2+ years of experience in leadership/management
Experience in building high quality applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
Experience working with Business Stakeholders to understand requirements and ability to translate them into scalable and sustainable solutions.
Should be proficient in writing Advanced SQLs, expertise in performance tuning of SQLs.
Experience with data science and machine learning tools and technologies is a plus
Demonstrate good understanding of development processes and agile methodologies
Strong analytical and communication skills.
Should be self-driven, highly motivated and ability to learn quickly and lead by example.